Update so100
This commit is contained in:
parent
039b437ef0
commit
30fcd3d417
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@ -14,7 +14,6 @@
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# See the License for the specific language governing permissions and
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# limitations under the License.
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import json
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import logging
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import logging
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import time
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import time
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@ -23,11 +22,11 @@ import numpy as np
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from lerobot.common.cameras.utils import make_cameras_from_configs
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from lerobot.common.cameras.utils import make_cameras_from_configs
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from lerobot.common.constants import OBS_IMAGES, OBS_STATE
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from lerobot.common.constants import OBS_IMAGES, OBS_STATE
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from lerobot.common.errors import DeviceAlreadyConnectedError, DeviceNotConnectedError
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from lerobot.common.errors import DeviceAlreadyConnectedError, DeviceNotConnectedError
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from lerobot.common.motors import TorqueMode
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from lerobot.common.motors import CalibrationMode, Motor, TorqueMode
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from lerobot.common.motors.feetech import (
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from lerobot.common.motors.feetech import (
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FeetechMotorsBus,
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FeetechMotorsBus,
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OperatingMode,
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apply_feetech_offsets_from_calibration,
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apply_feetech_offsets_from_calibration,
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run_full_arm_calibration,
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)
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)
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from ..robot import Robot
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from ..robot import Robot
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@ -47,23 +46,21 @@ class SO100Robot(Robot):
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super().__init__(config)
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super().__init__(config)
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self.config = config
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self.config = config
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self.robot_type = config.type
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self.robot_type = config.type
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self.logs = {}
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self.arm = FeetechMotorsBus(
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self.arm = FeetechMotorsBus(
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port=self.config.port,
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port=self.config.port,
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motors={
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motors={
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"shoulder_pan": (1, "sts3215"),
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"shoulder_pan": Motor(1, "sts3215", CalibrationMode.RANGE_M100_100),
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"shoulder_lift": (2, "sts3215"),
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"shoulder_lift": Motor(2, "sts3215", CalibrationMode.RANGE_M100_100),
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"elbow_flex": (3, "sts3215"),
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"elbow_flex": Motor(3, "sts3215", CalibrationMode.RANGE_M100_100),
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"wrist_flex": (4, "sts3215"),
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"wrist_flex": Motor(4, "sts3215", CalibrationMode.RANGE_M100_100),
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"wrist_roll": (5, "sts3215"),
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"wrist_roll": Motor(5, "sts3215", CalibrationMode.RANGE_M100_100),
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"gripper": (6, "sts3215"),
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"gripper": Motor(6, "sts3215", CalibrationMode.RANGE_0_100),
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},
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},
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)
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)
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self.cameras = make_cameras_from_configs(config.cameras)
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self.cameras = make_cameras_from_configs(config.cameras)
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self.is_connected = False
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self.logs = {}
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@property
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@property
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def state_feature(self) -> dict:
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def state_feature(self) -> dict:
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return {
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return {
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@ -87,6 +84,38 @@ class SO100Robot(Robot):
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}
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}
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return cam_ft
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return cam_ft
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def configure(self) -> None:
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for name in self.arm.names:
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# We assume that at connection time, arm is in a rest position,
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# and torque can be safely disabled to run calibration.
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self.arm.write("Torque_Enable", name, TorqueMode.DISABLED.value)
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self.arm.write("Mode", name, OperatingMode.POSITION.value)
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# Set P_Coefficient to lower value to avoid shakiness (Default is 32)
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self.arm.write("P_Coefficient", name, 16)
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# Set I_Coefficient and D_Coefficient to default value 0 and 32
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self.arm.write("I_Coefficient", name, 0)
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self.arm.write("D_Coefficient", name, 32)
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# Close the write lock so that Maximum_Acceleration gets written to EPROM address,
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# which is mandatory for Maximum_Acceleration to take effect after rebooting.
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self.arm.write("Lock", name, 0)
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# Set Maximum_Acceleration to 254 to speedup acceleration and deceleration of
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# the motors. Note: this configuration is not in the official STS3215 Memory Table
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self.arm.write("Maximum_Acceleration", name, 254)
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self.arm.write("Acceleration", name, 254)
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self.calibrate()
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for name in self.arm.names:
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self.arm.write("Torque_Enable", name, TorqueMode.ENABLED.value)
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logging.info("Torque activated.")
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@property
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def is_connected(self) -> bool:
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# TODO(aliberts): add cam.is_connected for cam in self.cameras
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return self.arm.is_connected
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def connect(self) -> None:
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def connect(self) -> None:
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if self.is_connected:
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if self.is_connected:
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raise DeviceAlreadyConnectedError(
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raise DeviceAlreadyConnectedError(
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@ -95,59 +124,25 @@ class SO100Robot(Robot):
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logging.info("Connecting arm.")
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logging.info("Connecting arm.")
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self.arm.connect()
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self.arm.connect()
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self.configure()
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# We assume that at connection time, arm is in a rest position,
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# and torque can be safely disabled to run calibration.
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self.arm.write("Torque_Enable", TorqueMode.DISABLED.value)
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self.calibrate()
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# Mode=0 for Position Control
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self.arm.write("Mode", 0)
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# Set P_Coefficient to lower value to avoid shakiness (Default is 32)
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self.arm.write("P_Coefficient", 16)
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# Set I_Coefficient and D_Coefficient to default value 0 and 32
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self.arm.write("I_Coefficient", 0)
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self.arm.write("D_Coefficient", 32)
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# Close the write lock so that Maximum_Acceleration gets written to EPROM address,
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# which is mandatory for Maximum_Acceleration to take effect after rebooting.
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self.arm.write("Lock", 0)
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# Set Maximum_Acceleration to 254 to speedup acceleration and deceleration of
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# the motors. Note: this configuration is not in the official STS3215 Memory Table
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self.arm.write("Maximum_Acceleration", 254)
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self.arm.write("Acceleration", 254)
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logging.info("Activating torque.")
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self.arm.write("Torque_Enable", TorqueMode.ENABLED.value)
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# Check arm can be read
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# Check arm can be read
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self.arm.read("Present_Position")
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self.arm.sync_read("Present_Position")
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# Connect the cameras
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# Connect the cameras
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for cam in self.cameras.values():
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for cam in self.cameras.values():
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cam.connect()
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cam.connect()
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self.is_connected = True
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def calibrate(self) -> None:
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def calibrate(self) -> None:
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"""After calibration all motors function in human interpretable ranges.
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raise NotImplementedError
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Rotations are expressed in degrees in nominal range of [-180, 180],
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and linear motions (like gripper of Aloha) in nominal range of [0, 100].
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"""
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if self.calibration_fpath.exists():
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with open(self.calibration_fpath) as f:
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calibration = json.load(f)
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else:
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# TODO(rcadene): display a warning in __init__ if calibration file not available
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logging.info(f"Missing calibration file '{self.calibration_fpath}'")
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calibration = run_full_arm_calibration(self.arm, self.robot_type, self.name, "follower")
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logging.info(f"Calibration is done! Saving calibration file '{self.calibration_fpath}'")
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def set_calibration(self) -> None:
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self.calibration_fpath.parent.mkdir(parents=True, exist_ok=True)
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if not self.calibration_fpath.exists():
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with open(self.calibration_fpath, "w") as f:
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logging.error("Calibration file not found. Please run calibration first")
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json.dump(calibration, f)
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raise FileNotFoundError(self.calibration_fpath)
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self.arm.set_calibration(calibration)
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self.arm.set_calibration(self.calibration_fpath)
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apply_feetech_offsets_from_calibration(self.arm, calibration)
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apply_feetech_offsets_from_calibration(self.arm, self.arm.calibration)
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def get_observation(self) -> dict[str, np.ndarray]:
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def get_observation(self) -> dict[str, np.ndarray]:
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"""The returned observations do not have a batch dimension."""
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"""The returned observations do not have a batch dimension."""
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@ -160,7 +155,7 @@ class SO100Robot(Robot):
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# Read arm position
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# Read arm position
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before_read_t = time.perf_counter()
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before_read_t = time.perf_counter()
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obs_dict[OBS_STATE] = self.arm.read("Present_Position")
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obs_dict[OBS_STATE] = self.arm.sync_read("Present_Position")
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self.logs["read_pos_dt_s"] = time.perf_counter() - before_read_t
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self.logs["read_pos_dt_s"] = time.perf_counter() - before_read_t
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# Capture images from cameras
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# Capture images from cameras
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@ -198,11 +193,11 @@ class SO100Robot(Robot):
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# Cap goal position when too far away from present position.
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# Cap goal position when too far away from present position.
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# /!\ Slower fps expected due to reading from the follower.
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# /!\ Slower fps expected due to reading from the follower.
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if self.config.max_relative_target is not None:
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if self.config.max_relative_target is not None:
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present_pos = self.arm.read("Present_Position")
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present_pos = self.arm.sync_read("Present_Position")
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goal_pos = ensure_safe_goal_position(goal_pos, present_pos, self.config.max_relative_target)
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goal_pos = ensure_safe_goal_position(goal_pos, present_pos, self.config.max_relative_target)
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# Send goal position to the arm
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# Send goal position to the arm
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self.arm.write("Goal_Position", goal_pos.astype(np.int32))
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self.arm.sync_write("Goal_Position", goal_pos.astype(np.int32))
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return goal_pos
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return goal_pos
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@ -219,5 +214,3 @@ class SO100Robot(Robot):
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self.arm.disconnect()
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self.arm.disconnect()
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for cam in self.cameras.values():
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for cam in self.cameras.values():
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cam.disconnect()
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cam.disconnect()
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self.is_connected = False
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@ -14,18 +14,16 @@
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# See the License for the specific language governing permissions and
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# limitations under the License.
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import json
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import logging
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import logging
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import time
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import time
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import numpy as np
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import numpy as np
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from lerobot.common.errors import DeviceAlreadyConnectedError, DeviceNotConnectedError
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from lerobot.common.errors import DeviceAlreadyConnectedError, DeviceNotConnectedError
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from lerobot.common.motors import TorqueMode
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from lerobot.common.motors import CalibrationMode, Motor, TorqueMode
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from lerobot.common.motors.feetech import (
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from lerobot.common.motors.feetech import (
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FeetechMotorsBus,
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FeetechMotorsBus,
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apply_feetech_offsets_from_calibration,
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apply_feetech_offsets_from_calibration,
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run_full_arm_calibration,
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)
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)
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from ..teleoperator import Teleoperator
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from ..teleoperator import Teleoperator
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@ -48,16 +46,15 @@ class SO100Teleop(Teleoperator):
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self.arm = FeetechMotorsBus(
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self.arm = FeetechMotorsBus(
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port=self.config.port,
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port=self.config.port,
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motors={
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motors={
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"shoulder_pan": (1, "sts3215"),
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"shoulder_pan": Motor(1, "sts3215", CalibrationMode.RANGE_M100_100),
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"shoulder_lift": (2, "sts3215"),
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"shoulder_lift": Motor(2, "sts3215", CalibrationMode.RANGE_M100_100),
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"elbow_flex": (3, "sts3215"),
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"elbow_flex": Motor(3, "sts3215", CalibrationMode.RANGE_M100_100),
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"wrist_flex": (4, "sts3215"),
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"wrist_flex": Motor(4, "sts3215", CalibrationMode.RANGE_M100_100),
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"wrist_roll": (5, "sts3215"),
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"wrist_roll": Motor(5, "sts3215", CalibrationMode.RANGE_M100_100),
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"gripper": (6, "sts3215"),
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"gripper": Motor(6, "sts3215", CalibrationMode.RANGE_0_100),
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},
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},
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)
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)
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self.is_connected = False
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self.logs = {}
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self.logs = {}
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@property
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@property
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def feedback_feature(self) -> dict:
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def feedback_feature(self) -> dict:
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return {}
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return {}
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def configure(self) -> None:
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# We assume that at connection time, arm is in a rest position,
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# and torque can be safely disabled to run calibration.
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for name in self.arm.names:
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self.arm.write("Torque_Enable", name, TorqueMode.DISABLED.value)
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@property
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def is_connected(self) -> bool:
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return self.arm.is_connected
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def connect(self) -> None:
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def connect(self) -> None:
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if self.is_connected:
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if self.is_connected:
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raise DeviceAlreadyConnectedError(
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raise DeviceAlreadyConnectedError(
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logging.info("Connecting arm.")
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logging.info("Connecting arm.")
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self.arm.connect()
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self.arm.connect()
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self.configure()
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# We assume that at connection time, arm is in a rest position,
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# and torque can be safely disabled to run calibration.
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self.arm.write("Torque_Enable", TorqueMode.DISABLED.value)
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self.calibrate()
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self.calibrate()
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# Check arm can be read
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# Check arm can be read
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self.arm.read("Present_Position")
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self.arm.sync_read("Present_Position")
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self.is_connected = True
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def calibrate(self) -> None:
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def calibrate(self) -> None:
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raise NotImplementedError
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def set_calibration(self) -> None:
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"""After calibration all motors function in human interpretable ranges.
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"""After calibration all motors function in human interpretable ranges.
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Rotations are expressed in degrees in nominal range of [-180, 180],
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Rotations are expressed in degrees in nominal range of [-180, 180],
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and linear motions (like gripper of Aloha) in nominal range of [0, 100].
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and linear motions (like gripper of Aloha) in nominal range of [0, 100].
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"""
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"""
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if self.calibration_fpath.exists():
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if not self.calibration_fpath.exists():
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with open(self.calibration_fpath) as f:
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logging.error("Calibration file not found. Please run calibration first")
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calibration = json.load(f)
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raise FileNotFoundError(self.calibration_fpath)
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else:
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# TODO(rcadene): display a warning in __init__ if calibration file not available
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logging.info(f"Missing calibration file '{self.calibration_fpath}'")
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calibration = run_full_arm_calibration(self.arm, self.robot_type, self.name, "leader")
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logging.info(f"Calibration is done! Saving calibration file '{self.calibration_fpath}'")
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self.arm.set_calibration(self.calibration_fpath)
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self.calibration_fpath.parent.mkdir(parents=True, exist_ok=True)
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apply_feetech_offsets_from_calibration(self.arm, self.arm.calibration)
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with open(self.calibration_fpath, "w") as f:
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json.dump(calibration, f)
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self.arm.set_calibration(calibration)
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apply_feetech_offsets_from_calibration(self.arm, calibration)
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def get_action(self) -> np.ndarray:
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def get_action(self) -> np.ndarray:
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"""The returned action does not have a batch dimension."""
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"""The returned action does not have a batch dimension."""
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# Read arm position
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# Read arm position
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before_read_t = time.perf_counter()
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before_read_t = time.perf_counter()
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action = self.arm.read("Present_Position")
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action = self.arm.sync_read("Present_Position")
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self.logs["read_pos_dt_s"] = time.perf_counter() - before_read_t
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self.logs["read_pos_dt_s"] = time.perf_counter() - before_read_t
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return action
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return action
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@ -132,4 +128,3 @@ class SO100Teleop(Teleoperator):
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)
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)
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self.arm.disconnect()
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self.arm.disconnect()
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self.is_connected = False
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