Add dora-lerobot node into dora (#834)

migrated node-hub from dora-lerobot to dora and fixed formatting of the
toml files as well

node-hub/dora-reachy1/README.md

@@ -0,0 +1 @@
+## Dora reachy client

node-hub/dora-reachy1/dora_reachy1/main.py

@@ -0,0 +1,125 @@
+import os
+import time
+
+import numpy as np
+from dora import Node
+from reachy_sdk import ReachySDK
+from reachy_sdk.trajectory import goto
+
+
+def r_arm_inverse_kinematics(reachy, pose, action) -> list:
+    A = np.array(
+        [
+            [0, 0, -1, pose[0] + action[0]],
+            [0, 1, 0, pose[1] + action[1]],
+            [1, 0, 0, pose[2] + action[2]],
+            [0, 0, 0, 1],
+        ]
+    )
+    return reachy.r_arm.inverse_kinematics(A)
+
+
+def happy_antennas(reachy):
+    reachy.head.l_antenna.speed_limit = 480.0
+    reachy.head.r_antenna.speed_limit = 480.0
+
+    for _ in range(1):
+        reachy.head.l_antenna.goal_position = 10.0
+        reachy.head.r_antenna.goal_position = -10.0
+
+        time.sleep(0.1)
+
+        reachy.head.l_antenna.goal_position = -10.0
+        reachy.head.r_antenna.goal_position = 10.0
+
+        time.sleep(0.1)
+
+    reachy.head.l_antenna.goal_position = 0.0
+    reachy.head.r_antenna.goal_position = 0.0
+
+
+def sad_antennas(reachy):
+    reachy.head.l_antenna.speed_limit = 360.0
+    reachy.head.r_antenna.speed_limit = 360.0
+
+    reachy.head.l_antenna.goal_position = 140.0
+    reachy.head.r_antenna.goal_position = -140.0
+
+
+def main():
+
+    node = Node()
+
+    ROBOT_IP = os.getenv("ROBOT_IP", "10.42.0.24")
+
+    reachy = ReachySDK(ROBOT_IP, with_mobile_base=False)
+    reachy.turn_on("r_arm")
+    reachy.turn_on("head")
+
+    r_arm_pose = [0.2, -0.46, -0.42]
+    head_pose = [
+        reachy.head.neck_roll.present_position,
+        reachy.head.neck_yaw.present_position,
+        reachy.head.neck_pitch.present_position,
+    ]
+
+    default_pose = r_arm_inverse_kinematics(reachy, r_arm_pose, [0, 0, 0])
+
+    goto(
+        {joint: pos for joint, pos in zip(reachy.r_arm.joints.values(), default_pose)},
+        duration=3,
+    )
+
+    for event in node:
+        if event["type"] != "INPUT":
+            continue
+
+        if event["id"] == "r_arm_action":
+            action = event["value"].to_pylist()
+            joint_pose = r_arm_inverse_kinematics(reachy, r_arm_pose, action)
+            goto(
+                {
+                    joint: pos
+                    for joint, pos in zip(reachy.r_arm.joints.values(), joint_pose)
+                },
+                duration=0.200,
+            )
+            r_arm_pose = np.array(r_arm_pose) + np.array(action)
+        elif event["id"] == "head_action":
+            action = event["value"].to_pylist()
+            for i in range(5):
+                head_pose = np.array(head_pose) + np.array(action) / 5
+                reachy.head.neck_roll.goal_position = head_pose[0]
+                reachy.head.neck_yaw.goal_position = head_pose[1]
+                reachy.head.neck_pitch.goal_position = head_pose[2]
+                time.sleep(0.03)
+        elif event["id"] == "antenna_action":
+            text = event["value"].to_pylist()[0]
+            if text == "smile":
+                happy_antennas(reachy)
+            elif text == "cry":
+                sad_antennas(reachy)
+        elif event["id"] == "gripper_action":
+            action = event["value"].to_pylist()[0]
+            step = (action - reachy.joints.r_gripper.present_position) / 10
+            goal = reachy.joints.r_gripper.present_position
+            for i in range(10):
+                goal += step
+                goal = np.clip(goal, -100, 100)
+                reachy.joints.r_gripper.goal_position = goal
+                time.sleep(0.02)
+
+            # When openning the gripper always go to default pose
+            if action == -100:
+                goto(
+                    {
+                        joint: pos
+                        for joint, pos in zip(
+                            reachy.r_arm.joints.values(), default_pose
+                        )
+                    },
+                    duration=3,
+                )
+                r_arm_pose = [0.2, -0.46, -0.42]
+    reachy.turn_off_smoothly("r_arm")
+    reachy.turn_off_smoothly("head")

node-hub/dora-reachy1/dora_reachy1_vision/main.py

@@ -0,0 +1,29 @@
+from reachy_sdk import ReachySDK
+import os
+from dora import Node
+import pyarrow as pa
+
+
+def main():
+
+    node = Node()
+
+    ROBOT_IP = os.getenv("ROBOT_IP", "10.42.0.24")
+    CAMERA = os.getenv("CAMERA", "right")
+
+    reachy = ReachySDK(ROBOT_IP, with_mobile_base=False)
+
+    for event in node:
+        if event["type"] == "INPUT":
+            if CAMERA == "right":
+                frame = reachy.right_camera.last_frame
+            else:
+                frame = reachy.left_camera.last_frame
+            encoding = "bgr8"
+            metadata = {}
+            metadata["width"] = int(frame.shape[1])
+            metadata["height"] = int(frame.shape[0])
+            metadata["encoding"] = encoding
+
+            storage = pa.array(frame.ravel())
+            node.send_output("image", storage, metadata)

node-hub/dora-reachy1/pyproject.toml

@@ -0,0 +1,28 @@
+[project]
+name = "dora-reachy1"
+version = "0.3.6"
+authors = [
+    { name = "Haixuan Xavier Tao", email = "<tao.xavier@outlook.com>" },
+    { name = "Enzo Le Van", email = "<dev@enzo-le-van.fr>" },
+]
+description = "Dora Node for controlling reachy1"
+license = { text = "MIT" }
+readme = "README.md"
+requires-python = ">=3.10"
+
+dependencies = [
+"dora-rs >= 0.3.6",
+"reachy-sdk >= 0.7.0",
+"grpcio-tools >= 1.50.0"
+]
+
+[dependency-groups]
+dev = ["pytest >=8.1.1", "ruff >=0.9.1"]
+
+[project.scripts]
+dora-reachy1 = "dora_reachy1.main:main"
+dora-reachy1-vision = "dora_reachy1_vision.main:main"
+
+[build-system]
+requires = ["poetry-core>=1.8.0"]
+build-backend = "poetry.core.masonry.api"

node-hub/dora-reachy1/tests/test_dora_reachy1.py

@@ -0,0 +1,13 @@
+# import pytest
+
+
+def test_pass():
+    pass
+
+
+# def test_import_main():
+#    from dora_reachy1.main import main
+
+# Check that everything is working, and catch dora Runtime Exception as we're not running in a dora dataflow.
+#    with pytest.raises(RuntimeError):
+#        main()

node-hub/dora-reachy1/tests/test_dora_reachy1_vision.py

@@ -0,0 +1,9 @@
+import pytest
+
+
+def test_import_main():
+    from dora_reachy1_vision.main import main
+
+    # Check that everything is working, and catch dora Runtime Exception as we're not running in a dora dataflow.
+    with pytest.raises(RuntimeError):
+        main()

node-hub/dora-reachy1/uv.lock

@@ -0,0 +1,615 @@
+version = 1
+revision = 1
+requires-python = ">=3.10"
+resolution-markers = [
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+    "python_full_version >= '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version >= '3.12' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version == '3.11.*' and sys_platform == 'darwin'",
+    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
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+    "python_full_version < '3.11' and sys_platform == 'darwin'",
+    "python_full_version < '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version < '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')",
+]
+
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+source = { editable = "." }
+dependencies = [
+    { name = "dora-rs" },
+    { name = "grpcio-tools" },
+    { name = "reachy-sdk" },
+]
+
+[package.dev-dependencies]
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+    { name = "pytest" },
+    { name = "ruff" },
+]
+
+[package.metadata]
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+    { name = "grpcio-tools", specifier = ">=1.50.0" },
+    { name = "reachy-sdk", specifier = ">=0.7.0" },
+]
+
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+]
+
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+]

node-hub/dynamixel-client/README.md

@@ -0,0 +1,107 @@
+## DynamixelClient for XL motors
+
+This node is a client for the Dynamixel motors. It is based on the Dynamixel SDK and is used to control the motors. It
+is a Python node that communicates with the motors via the USB port.
+
+## YAML Configuration
+
+````YAML
+nodes:
+  - id: dynamixel_client
+    path: client.py # modify this to the relative path from the graph file to the client script
+    inputs:
+      pull_position: dora/timer/millis/10 # pull the present position every 10ms
+      pull_velocity: dora/timer/millis/10 # pull the present velocity every 10ms
+      pull_current: dora/timer/millis/10 # pull the present current every 10ms
+
+      # write_goal_position: some goal position from other node
+      # write_goal_current: some goal current from other node
+
+      # end: some end signal from other node
+    outputs:
+      - position # regarding 'pull_position' input, it will output the position every 10ms
+      - velocity # regarding 'pull_velocity' input, it will output the velocity every 10ms
+      - current # regarding 'pull_current' input, it will output the current every 10ms
+
+    env:
+      PORT: COM9 # e.g. /dev/ttyUSB0 or COM9
+      CONFIG: config.json # the configuration file for the motors
+````
+
+## Arrow format
+
+### Outputs
+
+Arrow **StructArray** with two fields, **joints** and **values**:
+
+```Python
+import pyarrow as pa
+
+# Create a StructArray from a list of joints (py_list, numpy_array or pyarrow_array) and a list of values (py_list, numpy_array or pyarrow_array)
+arrow_struct = pa.StructArray.from_arrays(
+    arrays=[joints, values],
+    names=["joints", "values"]
+)
+
+# Send the StructArray to the dataflow
+node.send_output("output_name", arrow_struct, None)
+
+# Receive the StructArray from the dataflow
+event = node.next()
+arrow_struct = event["value"]
+joints = arrow_struct.field("joints")  # PyArrow Array of Strings
+values = arrow_struct.field("values")  # PyArrow Array of Int32/Uint32/Float32...
+```
+
+### Inputs
+
+Arrow **StructArray** with two fields, **joints** and **values**:
+
+```Python
+import pyarrow as pa
+
+# Create a StructArray from a list of joints (py_list, numpy_array or pyarrow_array) and a list of values (py_list, numpy_array or pyarrow_array)
+arrow_struct = pa.StructArray.from_arrays(
+    arrays=[joints, values],
+    names=["joints", "values"]
+)
+
+# Send the StructArray to the dataflow
+node.send_output("output_name", arrow_struct, None)
+
+# Receive the StructArray from the dataflow
+event = node.next()
+arrow_struct = event["value"]
+joints = arrow_struct.field("joints") # PyArrow Array of Strings
+values = arrow_struct.field("values") # PyArrow Array of Int32/Uint32/Float32...
+```
+
+**Note**: The zero-copy is available for numpy arrays (with no None values) and pyarrow arrays.
+
+## Configuration
+
+The configuration file that should be passed to the node is a JSON file that contains the configuration for the motors:
+
+```JSON
+{
+  "shoulder_pan": {
+    "id": 1,
+    "model": "x_series",
+    "torque": true,
+    "P": 800,
+    "I": 0,
+    "D": 0,
+    "goal_current": null
+  }
+}
+```
+
+The configuration file starts by the **joint** name of the servo. **id**: the id of the motor in the bus, **model**: the
+model of the motor, **torque**: whether the motor should be
+in torque mode or not (at the beginning), **P**: the proportional gain for position control mode, **I**: the integral
+gain for position control mode, **D**: the derivative gain for position control mode, **goal_current**: the goal current
+for the motor at the beginning, null if you don't want to set it.
+
+## License
+
+This library is licensed under the [Apache License 2.0](../../LICENSE).

node-hub/dynamixel-client/config.template.json

@@ -0,0 +1,20 @@
+{
+  "shoulder_pan": {
+    "id": 1,
+    "model": "x_series",
+    "torque": true,
+    "P": 800,
+    "I": 0,
+    "D": 0,
+    "goal_current": null
+  },
+  "shoulder_lift": {
+    "id": 2,
+    "model": "x_series",
+    "torque": true,
+    "P": 800,
+    "I": 0,
+    "D": 0,
+    "goal_current": null
+  }
+}

node-hub/dynamixel-client/dynamixel_client/bus.py

@@ -0,0 +1,328 @@
+import enum
+
+import pyarrow as pa
+
+from typing import Union
+
+from dynamixel_sdk import (
+    PacketHandler,
+    PortHandler,
+    COMM_SUCCESS,
+    GroupSyncRead,
+    GroupSyncWrite,
+)
+from dynamixel_sdk import DXL_HIBYTE, DXL_HIWORD, DXL_LOBYTE, DXL_LOWORD
+
+PROTOCOL_VERSION = 2.0
+BAUD_RATE = 1_000_000
+TIMEOUT_MS = 1000
+
+
+def wrap_joints_and_values(
+    joints: Union[list[str], pa.Array],
+    values: Union[int, list[int], pa.Array],
+) -> pa.StructArray:
+    """
+    Wraps joints and their corresponding values into a structured array.
+
+    :param joints: A list, numpy array, or pyarrow array of joint names.
+    :type joints: Union[list[str], np.array, pa.Array]
+    :param values: A single integer value, or a list, numpy array, or pyarrow array of integer values.
+                   If a single integer is provided, it will be broadcasted to all joints.
+    :type values: Union[int, list[int], np.array, pa.Array]
+
+    :return: A structured array with two fields:
+             - "joints": A string field containing the names of the joints.
+             - "values": An Int32Array containing the values corresponding to the joints.
+    :rtype: pa.StructArray
+
+    :raises ValueError: If lengths of joints and values do not match.
+
+    Example:
+    --------
+    joints = ["shoulder_pan", "shoulder_lift", "elbow_flex"]
+    values = [100, 200, 300]
+    struct_array = wrap_joints_and_values(joints, values)
+
+    This example wraps the given joints and their corresponding values into a structured array.
+
+    Another example with a single integer value:
+    joints = ["shoulder_pan", "shoulder_lift", "elbow_flex"]
+    value = 150
+    struct_array = wrap_joints_and_values(joints, value)
+
+    This example broadcasts the single integer value to all joints and wraps them into a structured array.
+    """
+
+    if isinstance(values, int):
+        values = [values] * len(joints)
+
+    if len(joints) != len(values):
+        raise ValueError("joints and values must have the same length")
+
+    mask = pa.array([False] * len(values), type=pa.bool_())
+
+    if isinstance(values, list):
+        mask = pa.array([value is None for value in values])
+
+    if isinstance(values, pa.Array):
+        mask = values.is_null()
+
+    return pa.StructArray.from_arrays(
+        arrays=[joints, values], names=["joints", "values"], mask=mask
+    ).drop_null()
+
+
+class TorqueMode(enum.Enum):
+    ENABLED = pa.scalar(1, pa.uint32())
+    DISABLED = pa.scalar(0, pa.uint32())
+
+
+class OperatingMode(enum.Enum):
+    VELOCITY = pa.scalar(1, pa.uint32())
+    POSITION = pa.scalar(3, pa.uint32())
+    EXTENDED_POSITION = pa.scalar(4, pa.uint32())
+    CURRENT_CONTROLLED_POSITION = pa.scalar(5, pa.uint32())
+    PWM = pa.scalar(16, pa.uint32())
+
+
+X_SERIES_CONTROL_TABLE = [
+    ("Model_Number", 0, 2),
+    ("Model_Information", 2, 4),
+    ("Firmware_Version", 6, 1),
+    ("ID", 7, 1),
+    ("Baud_Rate", 8, 1),
+    ("Return_Delay_Time", 9, 1),
+    ("Drive_Mode", 10, 1),
+    ("Operating_Mode", 11, 1),
+    ("Secondary_ID", 12, 1),
+    ("Protocol_Type", 13, 1),
+    ("Homing_Offset", 20, 4),
+    ("Moving_Threshold", 24, 4),
+    ("Temperature_Limit", 31, 1),
+    ("Max_Voltage_Limit", 32, 2),
+    ("Min_Voltage_Limit", 34, 2),
+    ("PWM_Limit", 36, 2),
+    ("Current_Limit", 38, 2),
+    ("Acceleration_Limit", 40, 4),
+    ("Velocity_Limit", 44, 4),
+    ("Max_Position_Limit", 48, 4),
+    ("Min_Position_Limit", 52, 4),
+    ("Shutdown", 63, 1),
+    ("Torque_Enable", 64, 1),
+    ("LED", 65, 1),
+    ("Status_Return_Level", 68, 1),
+    ("Registered_Instruction", 69, 1),
+    ("Hardware_Error_Status", 70, 1),
+    ("Velocity_I_Gain", 76, 2),
+    ("Velocity_P_Gain", 78, 2),
+    ("Position_D_Gain", 80, 2),
+    ("Position_I_Gain", 82, 2),
+    ("Position_P_Gain", 84, 2),
+    ("Feedforward_2nd_Gain", 88, 2),
+    ("Feedforward_1st_Gain", 90, 2),
+    ("Bus_Watchdog", 98, 1),
+    ("Goal_PWM", 100, 2),
+    ("Goal_Current", 102, 2),
+    ("Goal_Velocity", 104, 4),
+    ("Profile_Acceleration", 108, 4),
+    ("Profile_Velocity", 112, 4),
+    ("Goal_Position", 116, 4),
+    ("Realtime_Tick", 120, 2),
+    ("Moving", 122, 1),
+    ("Moving_Status", 123, 1),
+    ("Present_PWM", 124, 2),
+    ("Present_Current", 126, 2),
+    ("Present_Velocity", 128, 4),
+    ("Present_Position", 132, 4),
+    ("Velocity_Trajectory", 136, 4),
+    ("Position_Trajectory", 140, 4),
+    ("Present_Input_Voltage", 144, 2),
+    ("Present_Temperature", 146, 1),
+]
+
+MODEL_CONTROL_TABLE = {
+    "x_series": X_SERIES_CONTROL_TABLE,
+    "xl330-m077": X_SERIES_CONTROL_TABLE,
+    "xl330-m288": X_SERIES_CONTROL_TABLE,
+    "xl430-w250": X_SERIES_CONTROL_TABLE,
+    "xm430-w350": X_SERIES_CONTROL_TABLE,
+    "xm540-w270": X_SERIES_CONTROL_TABLE,
+}
+
+
+class DynamixelBus:
+
+    def __init__(self, port: str, description: dict[str, (int, str)]):
+        self.port = port
+        self.descriptions = description
+        self.motor_ctrl = {}
+
+        for motor_name, (motor_id, motor_model) in description.items():
+            if motor_model not in MODEL_CONTROL_TABLE:
+                raise ValueError(f"Model {motor_model} is not supported.")
+
+            self.motor_ctrl[motor_name] = {}
+
+            self.motor_ctrl[motor_name]["id"] = motor_id
+            for data_name, address, bytes_size in MODEL_CONTROL_TABLE[motor_model]:
+                self.motor_ctrl[motor_name][data_name] = {
+                    "addr": address,
+                    "bytes_size": bytes_size,
+                }
+
+        self.port_handler = PortHandler(self.port)
+        self.packet_handler = PacketHandler(PROTOCOL_VERSION)
+
+        if not self.port_handler.openPort():
+            raise OSError(f"Failed to open port {self.port}")
+
+        self.port_handler.setBaudRate(BAUD_RATE)
+        self.port_handler.setPacketTimeoutMillis(TIMEOUT_MS)
+
+        self.group_readers = {}
+        self.group_writers = {}
+
+    def close(self):
+        self.port_handler.closePort()
+
+    def write(self, data_name: str, data: pa.StructArray):
+        motor_ids = [
+            self.motor_ctrl[motor_name.as_py()]["id"]
+            for motor_name in data.field("joints")
+        ]
+
+        values = pa.Array.from_buffers(
+            pa.uint32(),
+            length=len(data.field("values")),
+            buffers=data.field("values").buffers(),
+        )
+
+        group_key = f"{data_name}_" + "_".join([str(idx) for idx in motor_ids])
+
+        first_motor_name = list(self.motor_ctrl.keys())[0]
+
+        packet_address = self.motor_ctrl[first_motor_name][data_name]["addr"]
+        packet_bytes_size = self.motor_ctrl[first_motor_name][data_name]["bytes_size"]
+
+        init_group = data_name not in self.group_readers
+
+        if init_group:
+            self.group_writers[group_key] = GroupSyncWrite(
+                self.port_handler,
+                self.packet_handler,
+                packet_address,
+                packet_bytes_size,
+            )
+
+        for idx, value in zip(motor_ids, values):
+            value = value.as_py()
+            if value is None:
+                continue
+
+            if packet_bytes_size == 1:
+                data = [
+                    DXL_LOBYTE(DXL_LOWORD(value)),
+                ]
+            elif packet_bytes_size == 2:
+                data = [
+                    DXL_LOBYTE(DXL_LOWORD(value)),
+                    DXL_HIBYTE(DXL_LOWORD(value)),
+                ]
+            elif packet_bytes_size == 4:
+                data = [
+                    DXL_LOBYTE(DXL_LOWORD(value)),
+                    DXL_HIBYTE(DXL_LOWORD(value)),
+                    DXL_LOBYTE(DXL_HIWORD(value)),
+                    DXL_HIBYTE(DXL_HIWORD(value)),
+                ]
+            else:
+                raise NotImplementedError(
+                    f"Value of the number of bytes to be sent is expected to be in [1, 2, 4], but {packet_bytes_size} "
+                    f"is provided instead."
+                )
+
+            if init_group:
+                self.group_writers[group_key].addParam(idx, data)
+            else:
+                self.group_writers[group_key].changeParam(idx, data)
+
+        comm = self.group_writers[group_key].txPacket()
+        if comm != COMM_SUCCESS:
+            raise ConnectionError(
+                f"Write failed due to communication error on port {self.port} for group_key {group_key}: "
+                f"{self.packet_handler.getTxRxResult(comm)}"
+            )
+
+    def read(self, data_name: str, motor_names: pa.Array) -> pa.StructArray:
+        motor_ids = [
+            self.motor_ctrl[motor_name.as_py()]["id"] for motor_name in motor_names
+        ]
+
+        group_key = f"{data_name}_" + "_".join([str(idx) for idx in motor_ids])
+
+        first_motor_name = list(self.motor_ctrl.keys())[0]
+
+        packet_address = self.motor_ctrl[first_motor_name][data_name]["addr"]
+        packet_bytes_size = self.motor_ctrl[first_motor_name][data_name]["bytes_size"]
+
+        if data_name not in self.group_readers:
+            self.group_readers[group_key] = GroupSyncRead(
+                self.port_handler,
+                self.packet_handler,
+                packet_address,
+                packet_bytes_size,
+            )
+
+            for idx in motor_ids:
+                self.group_readers[group_key].addParam(idx)
+
+        comm = self.group_readers[group_key].txRxPacket()
+        if comm != COMM_SUCCESS:
+            raise ConnectionError(
+                f"Read failed due to communication error on port {self.port} for group_key {group_key}: "
+                f"{self.packet_handler.getTxRxResult(comm)}"
+            )
+
+        values = pa.array(
+            [
+                self.group_readers[group_key].getData(
+                    idx, packet_address, packet_bytes_size
+                )
+                for idx in motor_ids
+            ],
+            type=pa.uint32(),
+        )
+        values = values.from_buffers(pa.int32(), len(values), values.buffers())
+
+        return wrap_joints_and_values(motor_names, values)
+
+    def write_torque_enable(self, torque_mode: pa.StructArray):
+        self.write("Torque_Enable", torque_mode)
+
+    def write_operating_mode(self, operating_mode: pa.StructArray):
+        self.write("Operating_Mode", operating_mode)
+
+    def read_position(self, motor_names: pa.Array) -> pa.StructArray:
+        return self.read("Present_Position", motor_names)
+
+    def read_velocity(self, motor_names: pa.Array) -> pa.StructArray:
+        return self.read("Present_Velocity", motor_names)
+
+    def read_current(self, motor_names: pa.Array) -> pa.StructArray:
+        return self.read("Present_Current", motor_names)
+
+    def write_goal_position(self, goal_position: pa.StructArray):
+        self.write("Goal_Position", goal_position)
+
+    def write_goal_current(self, goal_current: pa.StructArray):
+        self.write("Goal_Current", goal_current)
+
+    def write_position_p_gain(self, position_p_gain: pa.StructArray):
+        self.write("Position_P_Gain", position_p_gain)
+
+    def write_position_i_gain(self, position_i_gain: pa.StructArray):
+        self.write("Position_I_Gain", position_i_gain)
+
+    def write_position_d_gain(self, position_d_gain: pa.StructArray):
+        self.write("Position_D_Gain", position_d_gain)

node-hub/dynamixel-client/dynamixel_client/main.py

@@ -0,0 +1,222 @@
+"""
+Dynamixel Client: This node is used to represent a chain of dynamixel motors. It can be used to read positions,
+velocities, currents, and set goal positions and currents.
+"""
+
+import os
+import time
+import argparse
+import json
+
+import pyarrow as pa
+
+from dora import Node
+
+from .bus import DynamixelBus, TorqueMode, wrap_joints_and_values
+
+
+class Client:
+
+    def __init__(self, config: dict[str, any]):
+        self.config = config
+
+        description = {}
+        for i in range(len(config["ids"])):
+            description[config["joints"][i]] = (config["ids"][i], config["models"][i])
+
+        self.config["joints"] = pa.array(config["joints"], pa.string())
+        self.bus = DynamixelBus(config["port"], description)
+
+        # Set client configuration values, raise errors if the values are not set to indicate that the motors are not
+        # configured correctly
+
+        self.bus.write_torque_enable(self.config["torque"])
+        self.bus.write_goal_current(self.config["goal_current"])
+
+        time.sleep(0.1)
+        self.bus.write_position_d_gain(self.config["D"])
+
+        time.sleep(0.1)
+        self.bus.write_position_i_gain(self.config["I"])
+
+        time.sleep(0.1)
+        self.bus.write_position_p_gain(self.config["P"])
+
+        self.node = Node(config["name"])
+
+    def run(self):
+        for event in self.node:
+            event_type = event["type"]
+
+            if event_type == "INPUT":
+                event_id = event["id"]
+
+                if event_id == "pull_position":
+                    self.pull_position(self.node, event["metadata"])
+                elif event_id == "pull_velocity":
+                    self.pull_velocity(self.node, event["metadata"])
+                elif event_id == "pull_current":
+                    self.pull_current(self.node, event["metadata"])
+                elif event_id == "write_goal_position":
+                    self.write_goal_position(event["value"])
+                elif event_id == "write_goal_current":
+                    self.write_goal_current(event["value"])
+                elif event_id == "end":
+                    break
+
+            elif event_type == "ERROR":
+                raise ValueError("An error occurred in the dataflow: " + event["error"])
+
+    def close(self):
+        self.bus.write_torque_enable(
+            wrap_joints_and_values(
+                self.config["joints"],
+                [TorqueMode.DISABLED.value] * len(self.config["joints"]),
+            )
+        )
+
+    def pull_position(self, node, metadata):
+        try:
+            node.send_output(
+                "position",
+                self.bus.read_position(self.config["joints"]),
+                metadata,
+            )
+
+        except ConnectionError as e:
+            print("Error reading position:", e)
+
+    def pull_velocity(self, node, metadata):
+        try:
+            node.send_output(
+                "velocity",
+                self.bus.read_velocity(self.config["joints"]),
+                metadata,
+            )
+        except ConnectionError as e:
+            print("Error reading velocity:", e)
+
+    def pull_current(self, node, metadata):
+        try:
+            node.send_output(
+                "current",
+                self.bus.read_current(self.config["joints"]),
+                metadata,
+            )
+        except ConnectionError as e:
+            print("Error reading current:", e)
+
+    def write_goal_position(self, goal_position: pa.StructArray):
+        try:
+            self.bus.write_goal_position(goal_position)
+        except ConnectionError as e:
+            print("Error writing goal position:", e)
+
+    def write_goal_current(self, goal_current: pa.StructArray):
+        try:
+            self.bus.write_goal_current(goal_current)
+        except ConnectionError as e:
+            print("Error writing goal current:", e)
+
+
+def main():
+    # Handle dynamic nodes, ask for the name of the node in the dataflow
+    parser = argparse.ArgumentParser(
+        description="Dynamixel Client: This node is used to represent a chain of dynamixel motors. It can be used to "
+        "read positions, velocities, currents, and set goal positions and currents."
+    )
+
+    parser.add_argument(
+        "--name",
+        type=str,
+        required=False,
+        help="The name of the node in the dataflow.",
+        default="dynamixel_client",
+    )
+    parser.add_argument(
+        "--port",
+        type=str,
+        required=False,
+        help="The port of the dynamixel motors.",
+        default=None,
+    )
+    parser.add_argument(
+        "--config",
+        type=str,
+        help="The configuration of the dynamixel motors.",
+        default=None,
+    )
+
+    args = parser.parse_args()
+
+    # Check if port is set
+    if not os.environ.get("PORT") and args.port is None:
+        raise ValueError(
+            "The port is not set. Please set the port of the dynamixel motors in the environment variables or as an "
+            "argument."
+        )
+
+    port = os.environ.get("PORT") if args.port is None else args.port
+
+    # Check if config is set
+    if not os.environ.get("CONFIG") and args.config is None:
+        raise ValueError(
+            "The configuration is not set. Please set the configuration of the dynamixel motors in the environment "
+            "variables or as an argument."
+        )
+
+    with open(os.environ.get("CONFIG") if args.config is None else args.config) as file:
+        config = json.load(file)
+
+    joints = config.keys()
+
+    # Create configuration
+    bus = {
+        "name": args.name,
+        "port": port,  # (e.g. "/dev/ttyUSB0", "COM3")
+        "ids": [config[joint]["id"] for joint in joints],
+        "joints": list(config.keys()),
+        "models": [config[joint]["model"] for joint in joints],
+        "torque": wrap_joints_and_values(
+            pa.array(config.keys(), pa.string()),
+            pa.array(
+                [
+                    (
+                        TorqueMode.ENABLED.value
+                        if config[joint]["torque"]
+                        else TorqueMode.DISABLED.value
+                    )
+                    for joint in joints
+                ],
+                type=pa.uint32(),
+            ),
+        ),
+        "goal_current": wrap_joints_and_values(
+            pa.array(config.keys(), pa.string()),
+            pa.array(
+                [config[joint]["goal_current"] for joint in joints], type=pa.uint32()
+            ),
+        ),
+        "P": wrap_joints_and_values(
+            pa.array(config.keys(), pa.string()),
+            pa.array([config[joint]["P"] for joint in joints], type=pa.uint32()),
+        ),
+        "I": wrap_joints_and_values(
+            pa.array(config.keys(), pa.string()),
+            pa.array([config[joint]["I"] for joint in joints], type=pa.uint32()),
+        ),
+        "D": wrap_joints_and_values(
+            pa.array(config.keys(), pa.string()),
+            pa.array([config[joint]["D"] for joint in joints], type=pa.uint32()),
+        ),
+    }
+
+    print("Dynamixel Client Configuration: ", bus, flush=True)
+
+    client = Client(bus)
+    client.run()
+    client.close()
+
+
+if __name__ == "__main__":
+    main()

node-hub/dynamixel-client/pyproject.toml

@@ -0,0 +1,23 @@
+[project]
+name = "dynamixel-client"
+version = "0.1"
+authors = [{ name = "Hennzau", email = "<dev@enzo-le-van.fr>"}]
+description = "Dora Node client for dynamixel motors."
+license = { text = "MIT" }
+readme = "README.md"
+requires-python = ">=3.9"
+
+dependencies = [
+"dora-rs == 0.3.5",
+"dynamixel-sdk == 3.7.31",
+]
+
+[dependency-groups]
+dev = ["pytest >=8.1.1", "ruff >=0.9.1"]
+
+[project.scripts]
+dynamixel-client = "dynamixel_client.main:main"
+
+[build-system]
+requires = ["poetry-core>=1.8.0"]
+build-backend = "poetry.core.masonry.api"

node-hub/dynamixel-client/tests/test_dynamixel_client.py

@@ -0,0 +1,13 @@
+# import pytest
+
+
+def test_pass():
+    pass
+
+
+# def test_import_main():
+#    from dynamixel_client.main import main
+
+# Check that everything is working, and catch dora Runtime Exception as we're not running in a dora dataflow.
+#    with pytest.raises(RuntimeError):
+#        main()

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node-hub/feetech-client/README.md

@@ -0,0 +1,100 @@
+## FeetechClient for SCS/STS motors
+
+This node is a client for the Feetech motors. It is based on the Dynamixel SDK and is used to control the motors. It
+is a Python node that communicates with the motors via the USB port.
+
+## YAML Configuration
+
+```YAML
+nodes:
+  - id: feetech_client
+    path: client.py # modify this to the relative path from the graph file to the client script
+    inputs:
+      pull_position: dora/timer/millis/10 # pull the present position every 10ms
+      pull_velocity: dora/timer/millis/10 # pull the present velocity every 10ms
+      pull_current: dora/timer/millis/10 # pull the present current every 10ms
+
+      # write_goal_position: some goal position from other node
+
+      # end: some end signal from other node
+    outputs:
+      - position # regarding 'pull_position' input, it will output the position every 10ms
+      - velocity # regarding 'pull_velocity' input, it will output the velocity every 10ms
+      - current # regarding 'pull_current' input, it will output the current every 10ms
+
+    env:
+      PORT: COM9 # e.g. /dev/ttyUSB0 or COM9
+      CONFIG: config.json # the configuration file for the motors
+```
+
+## Arrow format
+
+### Outputs
+
+Arrow **StructArray** with two fields, **joints** and **values**:
+
+```Python
+import pyarrow as pa
+
+# Create a StructArray from a list of joints (py_list, numpy_array or pyarrow_array) and a list of values (py_list, numpy_array or pyarrow_array)
+arrow_struct = pa.StructArray.from_arrays(
+    arrays=[joints, values],
+    names=["joints", "values"]
+)
+
+# Send the StructArray to the dataflow
+node.send_output("output_name", arrow_struct, None)
+
+# Receive the StructArray from the dataflow
+event = node.next()
+arrow_struct = event["value"]
+joints = arrow_struct.field("joints")  # PyArrow Array of Strings
+values = arrow_struct.field("values")  # PyArrow Array of Int32/Uint32/Float32...
+```
+
+### Inputs
+
+Arrow **StructArray** with two fields, **joints** and **values**:
+
+```Python
+import pyarrow as pa
+
+# Create a StructArray from a list of joints (py_list, numpy_array or pyarrow_array) and a list of values (py_list, numpy_array or pyarrow_array)
+arrow_struct = pa.StructArray.from_arrays(
+    arrays=[joints, values],
+    names=["joints", "values"]
+)
+
+# Send the StructArray to the dataflow
+node.send_output("output_name", arrow_struct, None)
+
+# Receive the StructArray from the dataflow
+event = node.next()
+arrow_struct = event["value"]
+joints = arrow_struct.field("joints")  # PyArrow Array of Strings
+values = arrow_struct.field("values")  # PyArrow Array of Int32/Uint32/Float32...
+```
+
+**Note**: The zero-copy is available for numpy arrays (with no None values) and pyarrow arrays.
+
+## Configuration
+
+The configuration file that should be passed to the node is a JSON file that contains the configuration for the motors:
+
+```JSON
+{
+  "shoulder_pan": {
+    "id": 1,
+    "model": "scs_series",
+    "torque": true
+  }
+}
+```
+
+The configuration file starts by the **joint** name of the servo. **id**: the id of the motor in the bus, **model**: the
+model of the motor, **torque**: whether the motor should be in torque mode or not (at the beginning), **goal_current**:
+the goal current for the motor at the beginning, null if you don't want to set it.
+
+## License
+
+This library is licensed under the [Apache License 2.0](../../LICENSE).

node-hub/feetech-client/config.template.json

@@ -0,0 +1,12 @@
+{
+  "shoulder_pan": {
+    "id": 1,
+    "model": "scs_series",
+    "torque": true
+  },
+  "shoulder_lift": {
+    "id": 2,
+    "model": "scs_series",
+    "torque": true
+  }
+}

node-hub/feetech-client/feetech_client/bus.py

@@ -0,0 +1,275 @@
+import enum
+from typing import Union
+
+import numpy as np
+import pyarrow as pa
+from scservo_sdk import (
+    COMM_SUCCESS,
+    SCS_HIBYTE,
+    SCS_HIWORD,
+    SCS_LOBYTE,
+    SCS_LOWORD,
+    GroupSyncRead,
+    GroupSyncWrite,
+    PacketHandler,
+    PortHandler,
+)
+
+PROTOCOL_VERSION = 0
+BAUD_RATE = 1_000_000
+TIMEOUT_MS = 1000
+
+
+def wrap_joints_and_values(
+    joints: Union[list[str], pa.Array],
+    values: Union[list[int], pa.Array],
+) -> pa.StructArray:
+    return pa.StructArray.from_arrays(
+        arrays=[joints, values],
+        names=["joints", "values"],
+    )
+
+
+class TorqueMode(enum.Enum):
+    ENABLED = pa.scalar(1, pa.uint32())
+    DISABLED = pa.scalar(0, pa.uint32())
+
+
+class OperatingMode(enum.Enum):
+    ONE_TURN = pa.scalar(0, pa.uint32())
+
+
+SCS_SERIES_CONTROL_TABLE = [
+    ("Model", 3, 2),
+    ("ID", 5, 1),
+    ("Baud_Rate", 6, 1),
+    ("Return_Delay", 7, 1),
+    ("Response_Status_Level", 8, 1),
+    ("Min_Angle_Limit", 9, 2),
+    ("Max_Angle_Limit", 11, 2),
+    ("Max_Temperature_Limit", 13, 1),
+    ("Max_Voltage_Limit", 14, 1),
+    ("Min_Voltage_Limit", 15, 1),
+    ("Max_Torque_Limit", 16, 2),
+    ("Phase", 18, 1),
+    ("Unloading_Condition", 19, 1),
+    ("LED_Alarm_Condition", 20, 1),
+    ("P_Coefficient", 21, 1),
+    ("D_Coefficient", 22, 1),
+    ("I_Coefficient", 23, 1),
+    ("Minimum_Startup_Force", 24, 2),
+    ("CW_Dead_Zone", 26, 1),
+    ("CCW_Dead_Zone", 27, 1),
+    ("Protection_Current", 28, 2),
+    ("Angular_Resolution", 30, 1),
+    ("Offset", 31, 2),
+    ("Mode", 33, 1),
+    ("Protective_Torque", 34, 1),
+    ("Protection_Time", 35, 1),
+    ("Overload_Torque", 36, 1),
+    ("Speed_closed_loop_P_proportional_coefficient", 37, 1),
+    ("Over_Current_Protection_Time", 38, 1),
+    ("Velocity_closed_loop_I_integral_coefficient", 39, 1),
+    ("Torque_Enable", 40, 1),
+    ("Acceleration", 41, 1),
+    ("Goal_Position", 42, 2),
+    ("Goal_Time", 44, 2),
+    ("Goal_Speed", 46, 2),
+    ("Lock", 55, 1),
+    ("Present_Position", 56, 2),
+    ("Present_Speed", 58, 2),
+    ("Present_Load", 60, 2),
+    ("Present_Voltage", 62, 1),
+    ("Present_Temperature", 63, 1),
+    ("Status", 65, 1),
+    ("Moving", 66, 1),
+    ("Present_Current", 69, 2),
+]
+
+MODEL_CONTROL_TABLE = {
+    "scs_series": SCS_SERIES_CONTROL_TABLE,
+    "sts3215": SCS_SERIES_CONTROL_TABLE,
+}
+
+
+class FeetechBus:
+
+    def __init__(self, port: str, description: dict[str, (np.uint8, str)]):
+        """
+        Args:
+            port: the serial port to connect to the Feetech bus
+            description: a dictionary containing the description of the motors connected to the bus. The keys are the
+            motor names and the values are tuples containing the motor id and the motor model.
+        """
+
+        self.port = port
+        self.descriptions = description
+        self.motor_ctrl = {}
+
+        for motor_name, (motor_id, motor_model) in description.items():
+            if motor_model not in MODEL_CONTROL_TABLE:
+                raise ValueError(f"Model {motor_model} is not supported.")
+
+            self.motor_ctrl[motor_name] = {}
+
+            self.motor_ctrl[motor_name]["id"] = motor_id
+            for data_name, address, bytes_size in MODEL_CONTROL_TABLE[motor_model]:
+                self.motor_ctrl[motor_name][data_name] = {
+                    "addr": address,
+                    "bytes_size": bytes_size,
+                }
+
+        self.port_handler = PortHandler(self.port)
+        self.packet_handler = PacketHandler(PROTOCOL_VERSION)
+
+        if not self.port_handler.openPort():
+            raise OSError(f"Failed to open port {self.port}")
+
+        self.port_handler.setBaudRate(BAUD_RATE)
+        self.port_handler.setPacketTimeoutMillis(TIMEOUT_MS)
+
+        self.group_readers = {}
+        self.group_writers = {}
+
+    def close(self):
+        self.port_handler.closePort()
+
+    def write(self, data_name: str, data: pa.StructArray):
+        motor_ids = [
+            self.motor_ctrl[motor_name.as_py()]["id"]
+            for motor_name in data.field("joints")
+        ]
+
+        values = [
+            np.uint32(32767 - value.as_py()) if value < 0 else np.uint32(value.as_py())
+            for value in data.field("values")
+        ]
+
+        group_key = f"{data_name}_" + "_".join([str(idx) for idx in motor_ids])
+
+        first_motor_name = list(self.motor_ctrl.keys())[0]
+
+        packet_address = self.motor_ctrl[first_motor_name][data_name]["addr"]
+        packet_bytes_size = self.motor_ctrl[first_motor_name][data_name]["bytes_size"]
+
+        init_group = data_name not in self.group_readers
+
+        if init_group:
+            self.group_writers[group_key] = GroupSyncWrite(
+                self.port_handler,
+                self.packet_handler,
+                packet_address,
+                packet_bytes_size,
+            )
+
+        for idx, value in zip(motor_ids, values):
+            if value is None:
+                continue
+
+            if packet_bytes_size == 1:
+                data = [
+                    SCS_LOBYTE(SCS_LOWORD(value)),
+                ]
+            elif packet_bytes_size == 2:
+                data = [
+                    SCS_LOBYTE(SCS_LOWORD(value)),
+                    SCS_HIBYTE(SCS_LOWORD(value)),
+                ]
+            elif packet_bytes_size == 4:
+                data = [
+                    SCS_LOBYTE(SCS_LOWORD(value)),
+                    SCS_HIBYTE(SCS_LOWORD(value)),
+                    SCS_LOBYTE(SCS_HIWORD(value)),
+                    SCS_HIBYTE(SCS_HIWORD(value)),
+                ]
+            else:
+                raise NotImplementedError(
+                    f"Value of the number of bytes to be sent is expected to be in [1, 2, 4], but {packet_bytes_size} "
+                    f"is provided instead."
+                )
+
+            if init_group:
+                self.group_writers[group_key].addParam(idx, data)
+            else:
+                self.group_writers[group_key].changeParam(idx, data)
+
+        comm = self.group_writers[group_key].txPacket()
+        if comm != COMM_SUCCESS:
+            raise ConnectionError(
+                f"Write failed due to communication error on port {self.port} for group_key {group_key}: "
+                f"{self.packet_handler.getTxRxResult(comm)}"
+            )
+
+    def read(self, data_name: str, motor_names: pa.Array) -> pa.StructArray:
+        motor_ids = [
+            self.motor_ctrl[motor_name.as_py()]["id"] for motor_name in motor_names
+        ]
+
+        group_key = f"{data_name}_" + "_".join([str(idx) for idx in motor_ids])
+
+        first_motor_name = list(self.motor_ctrl.keys())[0]
+
+        packet_address = self.motor_ctrl[first_motor_name][data_name]["addr"]
+        packet_bytes_size = self.motor_ctrl[first_motor_name][data_name]["bytes_size"]
+
+        if data_name not in self.group_readers:
+            self.group_readers[group_key] = GroupSyncRead(
+                self.port_handler,
+                self.packet_handler,
+                packet_address,
+                packet_bytes_size,
+            )
+
+            for idx in motor_ids:
+                self.group_readers[group_key].addParam(idx)
+
+        comm = self.group_readers[group_key].txRxPacket()
+        if comm != COMM_SUCCESS:
+            raise ConnectionError(
+                f"Read failed due to communication error on port {self.port} for group_key {group_key}: "
+                f"{self.packet_handler.getTxRxResult(comm)}"
+            )
+
+        values = pa.array(
+            [
+                self.group_readers[group_key].getData(
+                    idx, packet_address, packet_bytes_size
+                )
+                for idx in motor_ids
+            ],
+            type=pa.uint32(),
+        )
+
+        values = pa.array(
+            [
+                value.as_py() if value.as_py() < 32767 else 32767 - value.as_py()
+                for value in values
+            ],
+            type=pa.int32(),
+        )
+
+        return wrap_joints_and_values(motor_names, values)
+
+    def write_torque_enable(self, torque_mode: pa.StructArray):
+        self.write("Torque_Enable", torque_mode)
+
+    def write_operating_mode(self, operating_mode: pa.StructArray):
+        self.write("Mode", operating_mode)
+
+    def read_position(self, motor_names: pa.Array) -> pa.StructArray:
+        return self.read("Present_Position", motor_names)
+
+    def read_velocity(self, motor_names: pa.Array) -> pa.StructArray:
+        return self.read("Present_Velocity", motor_names)
+
+    def read_current(self, motor_names: pa.Array) -> pa.StructArray:
+        return self.read("Present_Current", motor_names)
+
+    def write_goal_position(self, goal_position: pa.StructArray):
+        self.write("Goal_Position", goal_position)
+
+    def write_max_angle_limit(self, max_angle_limit: pa.StructArray):
+        self.write("Max_Angle_Limit", max_angle_limit)
+
+    def write_min_angle_limit(self, min_angle_limit: pa.StructArray):
+        self.write("Min_Angle_Limit", min_angle_limit)

node-hub/feetech-client/feetech_client/main.py

@@ -0,0 +1,186 @@
+"""
+Feetech Client: This node is used to represent a chain of feetech motors. It can be used to read positions,
+velocities, currents, and set goal positions and currents.
+"""
+
+import os
+import argparse
+import json
+
+import pyarrow as pa
+
+from dora import Node
+
+from .bus import FeetechBus, TorqueMode, wrap_joints_and_values
+
+
+class Client:
+
+    def __init__(self, config: dict[str, any]):
+        self.config = config
+
+        description = {}
+        for i in range(len(config["ids"])):
+            description[config["joints"][i]] = (config["ids"][i], config["models"][i])
+
+        self.config["joints"] = pa.array(config["joints"], pa.string())
+        self.bus = FeetechBus(config["port"], description)
+
+        # Set client configuration values and raise errors if the values are not set to indicate that the motors are not
+        # configured correctly
+
+        self.bus.write_torque_enable(self.config["torque"])
+
+        self.node = Node(config["name"])
+
+    def run(self):
+        for event in self.node:
+            event_type = event["type"]
+
+            if event_type == "INPUT":
+                event_id = event["id"]
+
+                if event_id == "pull_position":
+                    self.pull_position(self.node, event["metadata"])
+                elif event_id == "pull_velocity":
+                    self.pull_velocity(self.node, event["metadata"])
+                elif event_id == "pull_current":
+                    self.pull_current(self.node, event["metadata"])
+                elif event_id == "write_goal_position":
+                    self.write_goal_position(event["value"])
+                elif event_id == "end":
+                    break
+
+            elif event_type == "ERROR":
+                raise ValueError("An error occurred in the dataflow: " + event["error"])
+
+    def close(self):
+        self.bus.write_torque_enable(
+            wrap_joints_and_values(
+                self.config["joints"],
+                [TorqueMode.DISABLED.value] * len(self.config["joints"]),
+            )
+        )
+
+    def pull_position(self, node, metadata):
+        try:
+            node.send_output(
+                "position",
+                self.bus.read_position(self.config["joints"]),
+                metadata,
+            )
+
+        except ConnectionError as e:
+            print("Error reading position:", e)
+
+    def pull_velocity(self, node, metadata):
+        try:
+            node.send_output(
+                "velocity",
+                self.bus.read_velocity(self.config["joints"]),
+                metadata,
+            )
+        except ConnectionError as e:
+            print("Error reading velocity:", e)
+
+    def pull_current(self, node, metadata):
+        try:
+            node.send_output(
+                "current",
+                self.bus.read_current(self.config["joints"]),
+                metadata,
+            )
+        except ConnectionError as e:
+            print("Error reading current:", e)
+
+    def write_goal_position(self, goal_position: pa.StructArray):
+        try:
+            self.bus.write_goal_position(goal_position)
+        except ConnectionError as e:
+            print("Error writing goal position:", e)
+
+
+def main():
+    # Handle dynamic nodes, ask for the name of the node in the dataflow
+    parser = argparse.ArgumentParser(
+        description="Feetech Client: This node is used to represent a chain of feetech motors. "
+        "It can be used to read "
+        "positions, velocities, currents, and set goal positions and currents."
+    )
+
+    parser.add_argument(
+        "--name",
+        type=str,
+        required=False,
+        help="The name of the node in the dataflow.",
+        default="feetech_client",
+    )
+    parser.add_argument(
+        "--port",
+        type=str,
+        required=False,
+        help="The port of the feetech motors.",
+        default=None,
+    )
+    parser.add_argument(
+        "--config",
+        type=str,
+        help="The configuration of the feetech motors.",
+        default=None,
+    )
+
+    args = parser.parse_args()
+
+    # Check if port is set
+    if not os.environ.get("PORT") and args.port is None:
+        raise ValueError(
+            "The port is not set. Please set the port of the feetech motors in the environment variables or as an "
+            "argument."
+        )
+
+    port = os.environ.get("PORT") if args.port is None else args.port
+
+    # Check if config is set
+    if not os.environ.get("CONFIG") and args.config is None:
+        raise ValueError(
+            "The configuration is not set. Please set the configuration of the feetech motors in the environment "
+            "variables or as an argument."
+        )
+
+    with open(os.environ.get("CONFIG") if args.config is None else args.config) as file:
+        config = json.load(file)
+
+    joints = config.keys()
+
+    # Create configuration
+    bus = {
+        "name": args.name,
+        "port": port,  # (e.g. "/dev/ttyUSB0", "COM3")
+        "ids": [config[joint]["id"] for joint in joints],
+        "joints": list(config.keys()),
+        "models": [config[joint]["model"] for joint in joints],
+        "torque": wrap_joints_and_values(
+            pa.array(config.keys(), pa.string()),
+            pa.array(
+                [
+                    (
+                        TorqueMode.ENABLED.value
+                        if config[joint]["torque"]
+                        else TorqueMode.DISABLED.value
+                    )
+                    for joint in joints
+                ],
+                type=pa.uint32(),
+            ),
+        ),
+    }
+
+    print("Feetech Client Configuration: ", bus, flush=True)
+
+    client = Client(bus)
+    client.run()
+    client.close()
+
+
+if __name__ == "__main__":
+    main()

node-hub/feetech-client/pyproject.toml

@@ -0,0 +1,25 @@
+[project]
+name = "feetech-client"
+version = "0.1"
+authors = [{ name = "Hennzau", email = "<dev@enzo-le-van.fr>"}]
+description = "Dora Node client for feetech motors."
+license = { text = "MIT" }
+readme = "README.md"
+requires-python = ">=3.9"
+
+
+dependencies = [
+"dora-rs == 0.3.5",
+"numpy <=  2.0.0",
+"feetech-servo-sdk == 1.0.0", 
+]
+
+[dependency-groups]
+dev = ["pytest >=8.1.1", "ruff >=0.9.1"]
+
+[project.scripts]
+feetech-client = "feetech_client.main:main"
+
+[build-system]
+requires = ["poetry-core>=1.8.0"]
+build-backend = "poetry.core.masonry.api"

node-hub/feetech-client/tests/test_feetech_client.py

@@ -0,0 +1,13 @@
+# import pytest
+
+
+def test_pass():
+    pass
+
+
+# def test_import_main():
+#    from feetech_client.main import main
+
+# Check that everything is working, and catch dora Runtime Exception as we're not running in a dora dataflow.
+#    with pytest.raises(RuntimeError):
+#        main()

node-hub/feetech-client/uv.lock

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node-hub/lebai-client/README.md

@@ -0,0 +1,3 @@
+# Lebai client
+
+This is an experimental client for lebai robotic arms!

node-hub/lebai-client/lebai_client/main.py

@@ -0,0 +1,185 @@
+import lebai_sdk
+import numpy as np
+from dora import Node
+import json
+import os
+import time
+
+
+def load_json_file(file_path):
+    """Load JSON file and return the dictionary."""
+    if os.path.exists(file_path):
+        with open(file_path, "r") as file:
+            data = json.load(file)
+    else:
+        # Return an empty dictionary if file does not exist
+        data = {"recording": {}, "pose": {}}
+    return data
+
+
+def save_json_file(file_path, data):
+    """Save the dictionary back to the JSON file."""
+    with open(file_path, "w") as file:
+        json.dump(data, file, indent=4)
+
+
+SAVED_POSE_PATH = "pose_library.json"
+
+lebai_sdk.init()
+ROBOT_IP = os.getenv(
+    "LEBAI_IP", "10.42.0.253"
+)  # 设定机器人ip地址，需要根据机器人实际ip地址修改
+
+
+def main():
+    # Load the JSON file
+    pose_library = load_json_file(SAVED_POSE_PATH)
+    lebai = lebai_sdk.connect(ROBOT_IP, False)  # 创建实例
+
+    lebai.start_sys()  # 启动手臂
+    node = Node()
+    recording = False
+    teaching = False
+    recording_name = None
+    data = lebai.get_kin_data()
+    [x, y, z, rx, ry, rz] = list(data["actual_tcp_pose"].values())
+    joint_position = data["actual_joint_pose"]
+    t = 0.15
+
+    for event in node:
+        if event["type"] == "INPUT":
+            event_id = event["id"]
+            if event_id == "claw":
+                [claw] = event["value"].tolist()
+                lebai.set_claw(10, claw)
+            elif event_id == "movec":
+                if teaching:
+                    continue
+                [dx, dy, dz, drx, dry, drz, t] = event["value"].tolist()
+
+                cartesian_pose = {
+                    "x": x + dx,
+                    "y": y + dy,
+                    "z": z + dz,
+                    "rx": rx + drx,
+                    "ry": ry + dry,
+                    "rz": rz + drz,
+                }  # 目标位姿笛卡尔数据
+
+                t = 0.25  # 运动时间 (s)。 当 t > 0 时，参数速度 v 和加速度 a 无效
+                try:
+                    joint_position = lebai.kinematics_inverse(cartesian_pose)
+                except TypeError:
+                    print("could not compute inverse kinematics")
+                    continue
+                [x, y, z, rx, ry, rz] = list(cartesian_pose.values())
+                lebai.move_pvat(
+                    joint_position,
+                    [0.05, 0.05, 0.05, 0.05, 0.05, 0.05],
+                    [0.05, 0.05, 0.05, 0.05, 0.05, 0.05],
+                    t,
+                )  # 直线运动 https://help.lebai.ltd/sdk/motion.html#%E7%9B%B4%E7%BA%BF%E8%BF%90%E5%8A%A8
+            elif event_id == "movej":
+                if teaching:
+                    continue
+                relative_joint_position = event["value"].to_numpy()
+                joint_position = np.array(joint_position)
+                joint_position += np.array(relative_joint_position[:6])
+                cartesian_pose = lebai.kinematics_forward(list(joint_position))
+                [x, y, z, rx, ry, rz] = list(cartesian_pose.values())
+
+                t = 0.15  # 运动时间 (s)。 当 t > 0 时，参数速度 v 和加速度 a 无效
+
+                lebai.move_pvat(
+                    list(joint_position),
+                    [0.1, 0.1, 0.1, 0.1, 0.1, 0.1],
+                    [0.1, 0.1, 0.1, 0.1, 0.1, 0.1],
+                    t,
+                )  # 直线运动 https://help.lebai.ltd/sdk/motion.html#%E7%9B%B4%E7%BA%BF%E8%BF%90%E5%8A%A8
+            elif event_id == "stop":
+                lebai.stop_move()
+                data = lebai.get_kin_data()
+                [x, y, z, rx, ry, rz] = list(data["actual_tcp_pose"].values())
+                joint_position = list(data["actual_joint_pose"])
+            elif event_id == "save":
+                name = event["value"][0].as_py()
+                lebai.stop_move()
+                data = lebai.get_kin_data()
+                [x, y, z, rx, ry, rz] = list(data["actual_tcp_pose"].values())
+                joint_position = list(data["actual_joint_pose"])
+                pose_library["pose"][name] = list(joint_position)
+            elif event_id == "go_to":
+                if teaching:
+                    continue
+                name = event["value"][0].as_py()
+                lebai.stop_move()
+                retrieved_pose = pose_library["pose"].get(name)
+                if retrieved_pose is not None:
+                    joint_position = retrieved_pose
+                    t = 2
+                    lebai.move_pvat(
+                        list(joint_position),
+                        [0.1, 0.1, 0.1, 0.1, 0.1, 0.1],
+                        [0.1, 0.1, 0.1, 0.1, 0.1, 0.1],
+                        t,
+                    )  # 直线运动 https://help.lebai.ltd/sdk/motion.html#%E7%9B%B4%E7%BA%BF%E8%BF%90%E5%8A%A8
+                    lebai.wait_move()
+                    data = lebai.get_kin_data()
+                    [x, y, z, rx, ry, rz] = list(data["actual_tcp_pose"].values())
+                    joint_position = list(data["actual_joint_pose"])
+            elif event_id == "record":
+                name = event["value"][0].as_py()
+                recording = True
+
+                recording_name = name
+                pose_library["recording"][recording_name] = []
+                start_time = time.time()
+                data = lebai.get_kin_data()
+                [x, y, z, rx, ry, rz] = list(data["actual_tcp_pose"].values())
+                joint_position = list(data["actual_joint_pose"])
+            elif event_id == "cut":
+                recording = False
+            elif event_id == "teach":
+                if teaching:
+                    teaching = False
+                    continue
+                lebai.teach_mode()
+                teaching = True
+            elif event_id == "end_teach":
+                teaching = False
+                lebai.end_teach_mode()
+            elif event_id == "play":
+                name = event["value"][0].as_py()
+                if name in pose_library["recording"]:
+                    for event in pose_library["recording"][name]:
+                        print(event, flush=True)
+                        lebai.move_pvat(
+                            list(event["joint_position"]),
+                            [0.1, 0.1, 0.1, 0.1, 0.1, 0.1],
+                            [0.1, 0.1, 0.1, 0.1, 0.1, 0.1],
+                            event["t"],
+                        )
+                        event = node.next(timeout=event["duration"])
+                        if event is not None:
+                            print(event)
+                            if event["type"] == "INPUT" and event["id"] == "stop":
+                                lebai.stop_move()
+                                break
+
+            else:
+                pass
+            if recording and (
+                event_id == "movej" or event_id == "movec" or event_id == "go_to"
+            ):
+                if len(pose_library["recording"][recording_name]) == 0:
+                    t = 2
+                pose_library["recording"][recording_name] += [
+                    {
+                        "duration": time.time() - start_time,
+                        "joint_position": joint_position,
+                        "t": t * 2 if t == 0.1 else t,
+                    }
+                ]
+                start_time = time.time()
+
+        save_json_file(SAVED_POSE_PATH, pose_library)

node-hub/lebai-client/pyproject.toml

@@ -0,0 +1,23 @@
+[project]
+name = "lebai-client"
+version = "0.1"
+authors = [{ name = "dora-rs team"}]
+description = "Dora Node client for lebai robotic arms."
+license = { text = "MIT" }
+readme = "README.md"
+requires-python = ">=3.9"
+
+dependencies = [
+"dora-rs >= 0.3.6rc0",
+"lebai-sdk >= 0.2.17",
+]
+
+[dependency-groups]
+dev = ["pytest >=8.1.1", "ruff >=0.9.1"]
+
+[project.scripts]
+lebai-client = "lebai_client.main:main"
+
+[build-system]
+requires = ["poetry-core>=1.8.0"]
+build-backend = "poetry.core.masonry.api"

node-hub/lebai-client/test/test.py

@@ -0,0 +1,35 @@
+import lebai_sdk
+
+
+lebai_sdk.init()
+
+
+def main():
+    # print(lebai_sdk.discover_devices(2)) #发现同一局域网内的机器人
+
+    robot_ip = "10.20.17.1"  # 设定机器人ip地址，需要根据机器人实际ip地址修改
+    lebai = lebai_sdk.connect(robot_ip, False)  # 创建实例
+    lebai.start_sys()  # 启动手臂
+    cartesian_pose = {
+        "x": -0.383,
+        "y": -0.121,
+        "z": 0.36,
+        "rz": -1.57,
+        "ry": 0,
+        "rx": 1.57,
+    }  # 目标位姿笛卡尔数据
+    a = 0.3  # 空间加速度 (m/s2)
+    v = 0.1  # 空间速度 （m/s）
+    t = 0  # 运动时间 (s)。 当 t > 0 时，参数速度 v 和加速度 a 无效
+    r = 0  # 交融半径 (m)。用于指定路径的平滑效果
+
+    lebai.movel(
+        cartesian_pose, a, v, t, r
+    )  # 直线运动 https://help.lebai.ltd/sdk/motion.html#%E7%9B%B4%E7%BA%BF%E8%BF%90%E5%8A%A8
+    lebai.wait_move()  # 等待运动完成
+    # scene_number = "10000" #需要调用的场景编号
+    # lebai.start_task(scene_number, None, None, False, 1) #调用场景
+    lebai.stop_sys()  # 停止手臂
+
+
+main()

node-hub/lebai-client/tests/test_lebai_client.py

@@ -0,0 +1,13 @@
+# import pytest
+
+
+def test_pass():
+    pass
+
+
+# def test_import_main():
+#    from lebai_client.main import main
+
+# Check that everything is working, and catch dora Runtime Exception as we're not running in a dora dataflow.
+#    with pytest.raises(RuntimeError):
+#        main()

node-hub/lebai-client/uv.lock

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node-hub/lerobot-dashboard/README.md

@@ -0,0 +1,40 @@
+## LeRobot Record Interface
+
+Simple Interface that uses Pygame to display images and texts. It also manages keyboard events.
+This simple interface can only display two images of the same size side by side and a text in the middle bottom of the
+screen.
+
+## YAML Configuration
+
+````YAML
+nodes:
+  - id: lerobot_record
+    path: record.py # modify this to the relative path from the graph file to the client script
+    inputs:
+      tick: dora/timer/millis/16 # update the interface every 16ms (= 60fps)
+
+      # image_left: some image from other node 
+      # image_right: some image from other node
+    outputs:
+      - text
+      - episode
+      - failed
+      - end # end signal that can be sent to other nodes (sent when the window is closed)
+
+    env:
+      WINDOW_WIDTH: 1280 # window width (default is 640) 
+      WINDOW_HEIGHT: 1080 # window height (default is 480)
+````
+
+## Inputs
+
+## Outputs:
+
+- `text` : Array containing 1 element, the text in Arrow format.
+- `episode` : Array containing 1 element, the episode number in Arrow format (or -1, marks episode end).
+- `failed` : Array containing 1 element, the episode number failed in Arrow format.
+- `end` : Array containing 1 empty element, indicates the end of recording to the dataflow.
+
+## License
+
+This library is licensed under the [Apache License 2.0](../../LICENSE).

node-hub/lerobot-dashboard/lerobot_dashboard/main.py

@@ -0,0 +1,203 @@
+"""
+This Dora node is a minimalistic interface that shows two images and text in a Pygame window.
+"""
+
+import os
+import argparse
+
+import pygame
+
+import pyarrow as pa
+
+from dora import Node
+
+
+def main():
+    # Handle dynamic nodes, ask for the name of the node in the dataflow
+    parser = argparse.ArgumentParser(
+        description="LeRobot Record: This node is used to record episodes of a robot interacting with the environment."
+    )
+
+    parser.add_argument(
+        "--name",
+        type=str,
+        required=False,
+        help="The name of the node in the dataflow.",
+        default="lerobot_record",
+    )
+    parser.add_argument(
+        "--window-width",
+        type=int,
+        required=False,
+        help="The width of the window.",
+        default=640,
+    )
+    parser.add_argument(
+        "--window-height",
+        type=int,
+        required=False,
+        help="The height of the window.",
+        default=480,
+    )
+
+    args = parser.parse_args()
+
+    window_width = int(os.getenv("WINDOW_WIDTH", args.window_width))
+    window_height = int(os.getenv("WINDOW_HEIGHT", args.window_height))
+
+    image_left = pygame.Surface((int(window_width // 2), window_height // 2))
+    image_right = pygame.Surface((int(window_width // 2), window_height // 2))
+
+    pygame.font.init()
+    font = pygame.font.SysFont("Comic Sans MS", 30)
+    text = font.render("No text to render", True, (255, 255, 255))
+
+    pygame.init()
+
+    screen = pygame.display.set_mode((window_width, window_height + text.get_height()))
+
+    pygame.display.set_caption("Pygame minimalistic interface")
+
+    node = Node(args.name)
+
+    episode_index = 1
+    recording = False
+
+    for event in node:
+        event_type = event["type"]
+        if event_type == "STOP":
+            break
+
+        elif event_type == "INPUT":
+            event_id = event["id"]
+
+            if event_id == "image_left":
+                arrow_image = event["value"][0]
+
+                image = {
+                    "width": arrow_image["width"].as_py(),
+                    "height": arrow_image["height"].as_py(),
+                    "channels": arrow_image["channels"].as_py(),
+                    "data": arrow_image["data"].values.to_numpy(),
+                }
+
+                image_left = pygame.image.frombuffer(
+                    image["data"], (image["width"], image["height"]), "BGR"
+                )
+
+            elif event_id == "image_right":
+                arrow_image = event["value"][0]
+                image = {
+                    "width": arrow_image["width"].as_py(),
+                    "height": arrow_image["height"].as_py(),
+                    "channels": arrow_image["channels"].as_py(),
+                    "data": arrow_image["data"].values.to_numpy(),
+                }
+
+                image_right = pygame.image.frombuffer(
+                    image["data"], (image["width"], image["height"]), "BGR"
+                )
+
+            elif event_id == "tick":
+                node.send_output("tick", pa.array([]), event["metadata"])
+
+                running = True
+                for pygame_event in pygame.event.get():
+                    if pygame_event.type == pygame.QUIT:
+                        running = False
+                        break
+                    elif pygame_event.type == pygame.KEYDOWN:
+                        key = pygame.key.name(pygame_event.key)
+
+                        if key == "space":
+                            recording = not recording
+                            if recording:
+                                text = font.render(
+                                    f"Recording episode {episode_index}",
+                                    True,
+                                    (255, 255, 255),
+                                )
+
+                                node.send_output(
+                                    "episode",
+                                    pa.array([episode_index]),
+                                    event["metadata"],
+                                )
+                            else:
+                                text = font.render(
+                                    f"Stopped recording episode {episode_index}",
+                                    True,
+                                    (255, 255, 255),
+                                )
+
+                                node.send_output(
+                                    "episode",
+                                    pa.array([-1]),
+                                    event["metadata"],
+                                )
+
+                                episode_index += 1
+
+                        elif key == "return":
+                            if recording:
+                                recording = not recording
+                                text = font.render(
+                                    f"Failed episode {episode_index}",
+                                    True,
+                                    (255, 255, 255),
+                                )
+
+                                node.send_output(
+                                    "failed",
+                                    pa.array([episode_index]),
+                                    event["metadata"],
+                                )
+                                episode_index += 1
+                                node.send_output(
+                                    "episode",
+                                    pa.array([-1]),
+                                    event["metadata"],
+                                )
+
+                            elif episode_index >= 2:
+                                text = font.render(
+                                    f"Failed episode {episode_index - 1}",
+                                    True,
+                                    (255, 255, 255),
+                                )
+
+                                node.send_output(
+                                    "failed",
+                                    pa.array([episode_index - 1]),
+                                    event["metadata"],
+                                )
+
+                if not running:
+                    break
+
+                screen.fill((0, 0, 0))
+
+                # Draw the left image
+                screen.blit(image_left, (0, 0))
+
+                # Draw the right image
+                screen.blit(image_right, (window_width // 2, 0))
+
+                # Draw the text bottom center
+                screen.blit(
+                    text,
+                    (window_width // 2 - text.get_width() // 2, int(window_height)),
+                )
+
+                pygame.display.flip()
+
+        elif event_type == "ERROR":
+            raise ValueError("An error occurred in the dataflow: " + event["error"])
+
+    node.send_output("end", pa.array([]))
+
+    pygame.quit()
+
+
+if __name__ == "__main__":
+    main()

node-hub/lerobot-dashboard/pyproject.toml

@@ -0,0 +1,25 @@
+[project]
+name = "lerobot-dashboard"
+version = "0.1"
+authors = [{ name = "Hennzau", email = "<dev@enzo-le-van.fr>"}]
+description = "Dora Node Dashboard for LeRobot dataset recording."
+license = { text = "MIT" }
+readme = "README.md"
+requires-python = ">=3.9"
+
+dependencies = [
+"dora-rs == 0.3.5",
+"numpy <=  2.0.0",
+"opencv-python >= 4.1.1",
+"pygame ~= 2.6.0",
+]
+
+[dependency-groups]
+dev = ["pytest >=8.1.1", "ruff >=0.9.1"]
+
+[project.scripts]
+lerobot-dashboard = "lerobot_dashboard.main:main"
+
+[build-system]
+requires = ["poetry-core>=1.8.0"]
+build-backend = "poetry.core.masonry.api"

node-hub/lerobot-dashboard/tests/test_lerobot_dashboard.py

@@ -0,0 +1,13 @@
+# import pytest
+
+
+def test_pass():
+    pass
+
+
+# def test_import_main():
+#    from lerobot_dashboard.main import main
+
+# Check that everything is working, and catch dora Runtime Exception as we're not running in a dora dataflow.
+#    with pytest.raises(RuntimeError):
+#        main()

node-hub/lerobot-dashboard/uv.lock

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node-hub/mujoco-client/README.md

@@ -0,0 +1,31 @@
+## Mujoco Client
+
+This node is a client for a Mujoco simulation.
+
+## YAML Configuration
+
+````YAML
+nodes:
+  - id: mujoco_client
+    path: client.py # modify this to the relative path from the graph file to the client script
+    inputs:
+      pull_position: dora/timer/millis/10 # pull the present position every 10ms
+
+      # write_goal_position: some goal position from other node
+      # end: some end signal from other node
+    outputs:
+      - position # regarding 'pull_position' input, it will output the position every 10ms
+      - end # end signal that can be sent to other nodes (sent when the simulation ends)
+
+    env:
+      SCENE: scene.xml # the scene file to be used in the simulation modify this to the relative path from the graph file to the scene file
+      CONFIG: config.json # the configuration file for the simulated arm (only retrieve joints names)
+````
+
+## Inputs
+
+## Outputs
+
+## License
+
+This library is licensed under the [Apache License 2.0](../../LICENSE).

node-hub/mujoco-client/mujoco_client/main.py

@@ -0,0 +1,151 @@
+"""
+Mujoco Client: This node is used to represent simulated robot, it can be used to read virtual positions,
+or can be controlled
+"""
+
+import os
+import argparse
+import time
+import json
+
+import pyarrow as pa
+
+from dora import Node
+
+import mujoco
+import mujoco.viewer
+
+
+class Client:
+
+    def __init__(self, config: dict[str, any]):
+        self.config = config
+
+        self.m = mujoco.MjModel.from_xml_path(filename=config["scene"])
+        self.data = mujoco.MjData(self.m)
+
+        self.node = Node(config["name"])
+
+    def run(self):
+        with mujoco.viewer.launch_passive(self.m, self.data) as viewer:
+            for event in self.node:
+                event_type = event["type"]
+
+                if event_type == "INPUT":
+                    event_id = event["id"]
+
+                    if event_id == "tick":
+                        self.node.send_output("tick", pa.array([]), event["metadata"])
+
+                        if not viewer.is_running():
+                            break
+
+                        step_start = time.time()
+
+                        # Step the simulation forward
+                        mujoco.mj_step(self.m, self.data)
+                        viewer.sync()
+
+                        # Rudimentary time keeping, will drift relative to wall clock.
+                        time_until_next_step = self.m.opt.timestep - (
+                            time.time() - step_start
+                        )
+                        if time_until_next_step > 0:
+                            time.sleep(time_until_next_step)
+
+                    elif event_id == "pull_position":
+                        self.pull_position(self.node, event["metadata"])
+                    elif event_id == "pull_velocity":
+                        self.pull_velocity(self.node, event["metadata"])
+                    elif event_id == "pull_current":
+                        self.pull_current(self.node, event["metadata"])
+                    elif event_id == "write_goal_position":
+                        self.write_goal_position(event["value"])
+                    elif event_id == "end":
+                        break
+
+                elif event_type == "ERROR":
+                    raise ValueError(
+                        "An error occurred in the dataflow: " + event["error"]
+                    )
+
+            self.node.send_output("end", pa.array([]))
+
+    def pull_position(self, node, metadata):
+        pass
+
+    def pull_velocity(self, node, metadata):
+        pass
+
+    def pull_current(self, node, metadata):
+        pass
+
+    def write_goal_position(self, goal_position_with_joints):
+        joints = goal_position_with_joints.field("joints")
+        goal_position = goal_position_with_joints.field("values")
+
+        for i, joint in enumerate(joints):
+            self.data.joint(joint.as_py()).qpos[0] = goal_position[i].as_py()
+
+
+def main():
+    # Handle dynamic nodes, ask for the name of the node in the dataflow
+    parser = argparse.ArgumentParser(
+        description="MujoCo Client: This node is used to represent a MuJoCo simulation. It can be used instead of a "
+        "follower arm to test the dataflow."
+    )
+
+    parser.add_argument(
+        "--name",
+        type=str,
+        required=False,
+        help="The name of the node in the dataflow.",
+        default="mujoco_client",
+    )
+    parser.add_argument(
+        "--scene",
+        type=str,
+        required=False,
+        help="The scene file of the MuJoCo simulation.",
+    )
+
+    parser.add_argument(
+        "--config", type=str, help="The configuration of the joints.", default=None
+    )
+
+    args = parser.parse_args()
+
+    if not os.getenv("SCENE") and args.scene is None:
+        raise ValueError(
+            "Please set the SCENE environment variable or pass the --scene argument."
+        )
+
+    scene = os.getenv("SCENE", args.scene)
+
+    # Check if config is set
+    if not os.environ.get("CONFIG") and args.config is None:
+        raise ValueError(
+            "The configuration is not set. Please set the configuration of the simulated motors in the environment "
+            "variables or as an argument."
+        )
+
+    with open(os.environ.get("CONFIG") if args.config is None else args.config) as file:
+        config = json.load(file)
+
+    joints = config.keys()
+
+    # Create configuration
+    bus = {
+        "name": args.name,
+        "scene": scene,
+        "joints": pa.array(joints, pa.string()),
+    }
+
+    print("Mujoco Client Configuration: ", bus, flush=True)
+
+    client = Client(bus)
+    client.run()
+
+
+if __name__ == "__main__":
+    main()

node-hub/mujoco-client/pyproject.toml

@@ -0,0 +1,24 @@
+[project]
+name = "mujoco-client"
+version = "0.1"
+authors = [{ name = "Hennzau", email = "<dev@enzo-le-van.fr>"}]
+description = "Dora Node client for mujoco simulated robots."
+license = { text = "MIT" }
+readme = "README.md"
+requires-python = ">=3.9"
+
+dependencies = [
+"dora-rs == 0.3.5",
+"mujoco ~= 3.1.6",
+"PyOpenGL ~= 3.1.1a1",
+]
+
+[dependency-groups]
+dev = ["pytest >=8.1.1", "ruff >=0.9.1"]
+
+[project.scripts]
+mujoco-client = "mujoco_client.main:main"
+
+[build-system]
+requires = ["poetry-core>=1.8.0"]
+build-backend = "poetry.core.masonry.api"

node-hub/mujoco-client/tests/test_mujoco_client.py

@@ -0,0 +1,13 @@
+# import pytest
+
+
+def test_pass():
+    pass
+
+
+# def test_import_main():
+#    from mujoco_client.main import main
+
+# Check that everything is working, and catch dora Runtime Exception as we're not running in a dora dataflow.
+#    with pytest.raises(RuntimeError):
+#        main()

node-hub/mujoco-client/uv.lock

@@ -0,0 +1,501 @@
+version = 1
+revision = 1
+requires-python = ">=3.9"
+resolution-markers = [
+    "python_full_version >= '3.10'",
+    "python_full_version < '3.10'",
+]
+
+[[package]]
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node-hub/replay-client/README.md

@@ -0,0 +1,25 @@
+## Replay
+
+This node is a replay client.
+
+## YAML Configuration
+
+````YAML
+nodes:
+  - id: replay_client
+    path: client.py # modify this to the relative path from the graph file to the client script
+    inputs:
+      pull_position: dora/timer/millis/10
+
+    outputs:
+      - position
+      - end # end signal that can be sent to other nodes (sent when the replay ends)
+
+    env:
+      PATH: /path/to/record
+      EPISODE: 1
+````
+
+## License
+
+This library is licensed under the [Apache License 2.0](../../LICENSE).

node-hub/replay-client/pyproject.toml

@@ -0,0 +1,23 @@
+[project]
+name = "replay-client"
+version = "0.1"
+authors = [{ name = "Hennzau", email = "<dev@enzo-le-van.fr>"}]
+description = "Dora Node client for replaying recorded data."
+license = { text = "MIT" }
+readme = "README.md"
+requires-python = ">=3.9"
+
+dependencies = [
+"dora-rs == 0.3.5",
+"pandas ~= 2.2.2",
+]
+
+[dependency-groups]
+dev = ["pytest >=8.1.1", "ruff >=0.9.1"]
+
+[project.scripts]
+replay-client = "replay_client.main:main"
+
+[build-system]
+requires = ["poetry-core>=1.8.0"]
+build-backend = "poetry.core.masonry.api"

node-hub/replay-client/replay_client/main.py

@@ -0,0 +1,125 @@
+"""
+Replay Client: This node is used to represent a leader robot and send a sequence of goals to the dataflow,
+reading a dataset of actions and joints from a specific episode.
+"""
+
+import os
+import argparse
+
+import pyarrow as pa
+import pandas as pd
+
+from dora import Node
+
+
+def joints_values_to_arrow(joints, values):
+    return pa.StructArray.from_arrays(
+        arrays=[joints, values],
+        names=["joints", "values"],
+        fields=None,
+        mask=None,
+        memory_pool=None,
+    )
+
+
+class Client:
+
+    def __init__(self, config: dict[str, any]):
+        self.config = config
+
+        self.node = Node(config["name"])
+
+        dataset = pd.read_parquet(config["episode_path"] + "/dataset.parquet")
+
+        # Filter the dataset to only keep rows from the episode
+        dataset = dataset[dataset["episode_index"] == config["episode_id"]]
+
+        self.action = dataset["action"]
+        self.joints = dataset["joints"]
+        self.frame = 0
+
+    def run(self):
+        for event in self.node:
+            event_type = event["type"]
+
+            if event_type == "INPUT":
+                event_id = event["id"]
+
+                if event_id == "pull_position":
+                    if self.pull_position(self.node, event["metadata"]):
+                        break
+                elif event_id == "end":
+                    break
+
+            elif event_type == "ERROR":
+                raise ValueError("An error occurred in the dataflow: " + event["error"])
+
+        self.node.send_output("end", pa.array([]))
+
+    def pull_position(self, node, metadata) -> bool:
+        if self.frame >= len(self.action):
+            return True
+
+        action = self.action.iloc[self.frame]
+        joints = self.joints.iloc[self.frame]
+
+        position = joints_values_to_arrow(joints, pa.array(action, type=pa.float32()))
+
+        self.frame += 1
+
+        node.send_output("position", position, metadata)
+
+
+def main():
+    # Handle dynamic nodes, ask for the name of the node in the dataflow
+    parser = argparse.ArgumentParser(
+        description="Replay Client: This node is used to replay a sequence of goals for a followee robot."
+    )
+
+    parser.add_argument(
+        "--name",
+        type=str,
+        required=False,
+        help="The name of the node in the dataflow.",
+        default="replay_client",
+    )
+    parser.add_argument(
+        "--path",
+        type=str,
+        required=False,
+        help="The path to the episode dataset.",
+        default=None,
+    )
+    parser.add_argument(
+        "--episode",
+        type=int,
+        required=False,
+        help="The episode id to replay.",
+        default=None,
+    )
+
+    args = parser.parse_args()
+
+    if (not os.getenv("PATH") and args.path is None) or (
+        not os.getenv("EPISODE") and args.episode is None
+    ):
+        raise ValueError("The environment variables PATH and EPISODE_ID must be set.")
+
+    if not isinstance(int(os.getenv("EPISODE")), int):
+        raise ValueError("The environment variable EPISODE_ID must be an integer.")
+
+    # Create configuration
+    config = {
+        "name": args.name,
+        "episode_path": os.getenv("PATH", args.path),
+        "episode_id": int(os.getenv("EPISODE", args.episode)),
+    }
+
+    print("Replay Client Configuration: ", config, flush=True)
+
+    client = Client(config)
+    client.run()
+
+
+if __name__ == "__main__":
+    main()

node-hub/replay-client/tests/test_replay_client.py

@@ -0,0 +1,13 @@
+# import pytest
+
+
+def test_pass():
+    pass
+
+
+# def test_import_main():
+#    from replay_client.main import main
+
+# Check that everything is working, and catch dora Runtime Exception as we're not running in a dora dataflow.
+#    with pytest.raises(RuntimeError):
+#        main()

node-hub/replay-client/uv.lock

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+resolution-markers = [
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+    "python_full_version == '3.11.*'",
+    "python_full_version == '3.10.*'",
+    "python_full_version < '3.10'",
+]
+
+[[package]]
+name = "colorama"
+version = "0.4.6"
+source = { registry = "https://pypi.org/simple" }
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+]
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+[[package]]
+name = "dora-rs"
+version = "0.3.5"
+source = { registry = "https://pypi.org/simple" }
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+    { name = "pyarrow" },
+]
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node-hub/video-encoder/README.md

@@ -0,0 +1,28 @@
+## Camera Node for OpenCV compatible cameras
+
+Simple Camera node that uses OpenCV to capture images from a camera. The node can be configured to use a specific camera
+id, width and height.
+It then sends the images to the dataflow.
+
+## YAML Configuration
+
+````YAML
+nodes:
+  - id: video_encoder
+    path: encoder.py # modify this to the relative path from the graph file to the client script
+    inputs:
+    # image: some image from other node
+    # episode_index: some episode index from other node
+    outputs:
+      - image
+
+    env:
+      VIDEO_NAME: cam_up
+      VIDEO_WIDTH: 640
+      VIDEO_HEIGHT: 480
+      FPS: 30
+````
+
+## License
+
+This library is licensed under the [Apache License 2.0](../../LICENSE).

node-hub/video-encoder/pyproject.toml

@@ -0,0 +1,25 @@
+[project]
+name = "video-encoder"
+version = "0.1"
+authors = [{ name = "Hennzau", email = "<dev@enzo-le-van.fr>"}]
+description = "Dora Node for video encoding (LeRobot compatible)."
+license = { text = "MIT" }
+readme = "README.md"
+requires-python = ">=3.9"
+
+dependencies = [
+"dora-rs == 0.3.5",
+"numpy <=  2.0.0",
+"opencv-python >=  4.1.1",
+"python-ffmpeg ~= 2.0.12",
+]
+
+[dependency-groups]
+dev = ["pytest >=8.1.1", "ruff >=0.9.1"]
+
+[project.scripts]
+video-encoder = "video_encoder.main:main"
+
+[build-system]
+requires = ["poetry-core>=1.8.0"]
+build-backend = "poetry.core.masonry.api"

node-hub/video-encoder/tests/test_video_encoder.py

@@ -0,0 +1,13 @@
+# import pytest
+
+
+def test_pass():
+    pass
+
+
+# def test_import_main():
+#    from video_encoder.main import main
+
+# Check that everything is working, and catch dora Runtime Exception as we're not running in a dora dataflow.
+#    with pytest.raises(RuntimeError):
+#        main()

node-hub/video-encoder/uv.lock

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+version = 1
+revision = 1
+requires-python = ">=3.9"
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+[[package]]
+name = "video-encoder"
+version = "0.1"
+source = { editable = "." }
+dependencies = [
+    { name = "dora-rs" },
+    { name = "numpy" },
+    { name = "opencv-python" },
+    { name = "python-ffmpeg" },
+]
+
+[package.dev-dependencies]
+dev = [
+    { name = "pytest" },
+    { name = "ruff" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "dora-rs", specifier = "==0.3.5" },
+    { name = "numpy", specifier = "<=2.0.0" },
+    { name = "opencv-python", specifier = ">=4.1.1" },
+    { name = "python-ffmpeg", specifier = "~=2.0.12" },
+]
+
+[package.metadata.requires-dev]
+dev = [
+    { name = "pytest", specifier = ">=8.1.1" },
+    { name = "ruff", specifier = ">=0.9.1" },
+]

node-hub/video-encoder/video_encoder/main.py

@@ -0,0 +1,133 @@
+import os
+from pathlib import Path
+
+import cv2
+import argparse
+
+import numpy as np
+import pyarrow as pa
+
+from dora import Node
+from ffmpeg import FFmpeg
+
+
+def main():
+    # Handle dynamic nodes, ask for the name of the node in the dataflow
+    parser = argparse.ArgumentParser(
+        description="Video Encoder: This node is used to record episodes of a robot interacting with the environment."
+    )
+
+    parser.add_argument(
+        "--name",
+        type=str,
+        required=False,
+        help="The name of the node in the dataflow.",
+        default="video_encoder",
+    )
+
+    if not os.getenv("VIDEO_NAME") or not os.getenv("FPS"):
+        raise ValueError("Please set the VIDEO_NAME and FPS environment variables.")
+
+    video_name = os.getenv("VIDEO_NAME")
+    fps = int(os.getenv("FPS"))
+
+    args = parser.parse_args()
+
+    node = Node(args.name)
+
+    recording = False
+    episode_index = 1
+
+    dataflow_id = node.dataflow_id()
+
+    base = Path("out") / dataflow_id / "videos"
+    out_dir = base / f"{video_name}_episode_{episode_index:06d}"
+    name = f"{video_name}_episode_{episode_index:06d}.mp4"
+
+    if not out_dir.exists():
+        out_dir.mkdir(parents=True)
+
+    # We initialize the output canal with a first data
+    node.send_output(
+        "image",
+        pa.array([{"path": f"videos/{name}", "timestamp": float(0) / fps}]),
+    )
+
+    frame_count = 0
+    for event in node:
+        event_type = event["type"]
+
+        if event_type == "INPUT":
+            event_id = event["id"]
+
+            if event_id == "image":
+                if recording:
+                    base = Path("out") / dataflow_id / "videos"
+                    out_dir = base / f"{video_name}_episode_{episode_index:06d}"
+                    name = f"{video_name}_episode_{episode_index:06d}.mp4"
+
+                    if not out_dir.exists():
+                        out_dir.mkdir(parents=True)
+
+                    node.send_output(
+                        "image",
+                        pa.array(
+                            [
+                                {
+                                    "path": f"videos/{name}",
+                                    "timestamp": float(frame_count) / fps,
+                                }
+                            ]
+                        ),
+                        event["metadata"],
+                    )
+
+                    arrow_image = event["value"][0]
+                    image = {
+                        "width": arrow_image["width"].as_py(),
+                        "height": arrow_image["height"].as_py(),
+                        "channels": arrow_image["channels"].as_py(),
+                        "data": arrow_image["data"].values.to_numpy().astype(np.uint8),
+                    }
+
+                    data = image["data"].reshape(
+                        (image["height"], image["width"], image["channels"])
+                    )
+
+                    path = str(out_dir / f"frame_{frame_count:06d}.png")
+                    cv2.imwrite(path, data)
+
+                    frame_count += 1
+
+            elif event_id == "episode_index":
+                episode = event["value"][0].as_py()
+                recording = episode != -1
+
+                if recording:
+                    episode_index = episode
+                else:
+                    # save all the frames into a video
+                    base = Path("out") / dataflow_id / "videos"
+                    out_dir = base / f"{video_name}_episode_{episode_index:06d}"
+                    name = f"{video_name}_episode_{episode_index:06d}.mp4"
+                    video_path = base / name
+
+                    ffmpeg = (
+                        FFmpeg()
+                        .option("y")
+                        .input(str(out_dir / "frame_%06d.png"), f="image2", r=fps)
+                        .output(
+                            str(video_path), vcodec="libx264", g=2, pix_fmt="yuv444p"
+                        )
+                    )
+
+                    ffmpeg.execute()
+
+                    frame_count = 0
+
+        elif event_type == "ERROR":
+            raise ValueError("An error occurred in the dataflow: " + event["error"])
+
+
+if __name__ == "__main__":
+    main()