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* [Port codebase pipeline] General fixes for RL and scripts (#1748) * Refactor dataset configuration in documentation and codebase - Updated dataset configuration keys from `dataset_root` to `root` and `num_episodes` to `num_episodes_to_record` for consistency. - Adjusted replay episode handling by renaming `episode` to `replay_episode`. - Enhanced documentation - added specific processor to transform from policy actions to delta actions * Added Robot action to tensor processor Added new processor script for dealing with gym specific action processing * removed RobotAction2Tensor processor; imrpoved choosing observations in actor * nit in delta action * added missing reset functions to kinematics * Adapt teleoperate and replay to pipeline similar to record * refactor(processors): move to inheritance (#1750) * fix(teleoperator): improvements phone implementation (#1752) * fix(teleoperator): protect shared state in phone implementation * refactor(teleop): separate classes in phone * fix: solve breaking changes (#1753) * refactor(policies): multiple improvements (#1754) * refactor(processor): simpler logic in device processor (#1755) * refactor(processor): euclidean distance in delta action processor (#1757) * refactor(processor): improvements to joint observations processor migration (#1758) * refactor(processor): improvements to tokenizer migration (#1759) * refactor(processor): improvements to tokenizer migration * fix(tests): tokenizer tests regression from #1750 * fix(processors): fix float comparison and config in hil processors (#1760) * chore(teleop): remove unnecessary callbacks in KeyboardEndEffectorTeleop (#1761) * refactor(processor): improvements normalize pipeline migration (#1756) * refactor(processor): several improvements normalize processor step * refactor(processor): more improvements normalize processor * refactor(processor): more changes to normalizer * refactor(processor): take a different approach to DRY * refactor(processor): final design * chore(record): revert comment and continue deleted (#1764) * refactor(examples): pipeline phone examples (#1769) * refactor(examples): phone teleop + teleop script * refactor(examples): phone replay + replay * chore(examples): rename phone example files & folders * feat(processor): fix improvements to the pipeline porting (#1796) * refactor(processor): enhance tensor device handling in normalization process (#1795) * refactor(tests): remove unsupported device detection test for complementary data (#1797) * chore(tests): update ToBatchProcessor test (#1798) * refactor(tests): remove in-place mutation tests for actions and complementary data in batch processor * test(tests): add tests for action and task processing in batch processor * add names for android and ios phone (#1799) * use _tensor_stats in normalize processor (#1800) * fix(normalize_processor): correct device reference for tensor epsilon handling (#1801) * add point 5 add missing feature contracts (#1806) * Fix PR comments 1452 (#1807) * use key to determine image * Address rest of PR comments * use PolicyFeatures in transform_features --------- Co-authored-by: Pepijn <138571049+pkooij@users.noreply.github.com> --------- Co-authored-by: Michel Aractingi <michel.aractingi@huggingface.co> Co-authored-by: Adil Zouitine <adilzouitinegm@gmail.com> Co-authored-by: Pepijn <138571049+pkooij@users.noreply.github.com>
94 lines
3.4 KiB
Python
94 lines
3.4 KiB
Python
#!/usr/bin/env python
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# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specif
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import time
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from lerobot.model.kinematics import RobotKinematics
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from lerobot.processor import RobotProcessor
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from lerobot.processor.converters import to_output_robot_action, to_transition_teleop_action
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from lerobot.robots.so100_follower.config_so100_follower import SO100FollowerConfig
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from lerobot.robots.so100_follower.robot_kinematic_processor import (
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AddRobotObservationAsComplimentaryData,
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EEBoundsAndSafety,
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EEReferenceAndDelta,
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GripperVelocityToJoint,
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InverseKinematicsEEToJoints,
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)
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from lerobot.robots.so100_follower.so100_follower import SO100Follower
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from lerobot.teleoperators.phone.config_phone import PhoneConfig, PhoneOS
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from lerobot.teleoperators.phone.phone_processor import MapPhoneActionToRobotAction
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from lerobot.teleoperators.phone.teleop_phone import Phone
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# Initialize the robot and teleoperator
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robot_config = SO100FollowerConfig(
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port="/dev/tty.usbmodem58760434471", id="my_awesome_follower_arm", use_degrees=True
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)
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teleop_config = PhoneConfig(phone_os=PhoneOS.IOS) # or PhoneOS.ANDROID
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# Initialize the robot and teleoperator
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robot = SO100Follower(robot_config)
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teleop_device = Phone(teleop_config)
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# NOTE: It is highly recommended to use the urdf in the SO-ARM100 repo: https://github.com/TheRobotStudio/SO-ARM100/blob/main/Simulation/SO101/so101_new_calib.urdf
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kinematics_solver = RobotKinematics(
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urdf_path="./src/lerobot/teleoperators/sim/so101_new_calib.urdf",
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target_frame_name="gripper_frame_link",
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joint_names=list(robot.bus.motors.keys()),
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)
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# Build pipeline to convert phone action to ee pose action to joint action
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phone_to_robot_joints = RobotProcessor(
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steps=[
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MapPhoneActionToRobotAction(platform=teleop_config.phone_os),
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AddRobotObservationAsComplimentaryData(robot=robot),
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EEReferenceAndDelta(
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kinematics=kinematics_solver,
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end_effector_step_sizes={"x": 0.5, "y": 0.5, "z": 0.5},
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motor_names=list(robot.bus.motors.keys()),
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),
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EEBoundsAndSafety(
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end_effector_bounds={"min": [-1.0, -1.0, -1.0], "max": [1.0, 1.0, 1.0]},
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max_ee_step_m=0.10,
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max_ee_twist_step_rad=0.50,
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),
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InverseKinematicsEEToJoints(
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kinematics=kinematics_solver,
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motor_names=list(robot.bus.motors.keys()),
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),
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GripperVelocityToJoint(
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motor_names=list(robot.bus.motors.keys()),
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speed_factor=20.0,
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),
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],
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to_transition=to_transition_teleop_action,
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to_output=to_output_robot_action,
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)
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robot.connect()
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teleop_device.connect()
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print("Starting teleop loop. Move your phone to teleoperate the robot.")
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while True:
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# Get teleop observation
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phone_obs = teleop_device.get_action()
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# Phone -> EE pose -> Joints transition
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joint_action = phone_to_robot_joints(phone_obs)
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if joint_action:
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robot.send_action(joint_action)
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time.sleep(0.01)
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