Co-authored-by: Michel Aractingi <michel.aractingi@huggingface.co> Co-authored-by: Eugene Mironov <helper2424@gmail.com> Co-authored-by: s1lent4gnt <kmeftah.khalil@gmail.com> Co-authored-by: Ke Wang <superwk1017@gmail.com> Co-authored-by: Yoel Chornton <yoel.chornton@gmail.com> Co-authored-by: imstevenpmwork <steven.palma@huggingface.co> Co-authored-by: Simon Alibert <simon.alibert@huggingface.co>
96 lines
3.2 KiB
Python
96 lines
3.2 KiB
Python
# 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 specific language governing permissions and
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# limitations under the License.
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import logging
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from pprint import pformat
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from lerobot.common.robots import RobotConfig
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from .robot import Robot
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def make_robot_from_config(config: RobotConfig) -> Robot:
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if config.type == "koch_follower":
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from .koch_follower import KochFollower
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return KochFollower(config)
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elif config.type == "so100_follower":
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from .so100_follower import SO100Follower
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return SO100Follower(config)
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elif config.type == "so100_follower_end_effector":
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from .so100_follower import SO100FollowerEndEffector
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return SO100FollowerEndEffector(config)
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elif config.type == "so101_follower":
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from .so101_follower import SO101Follower
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return SO101Follower(config)
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elif config.type == "lekiwi":
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from .lekiwi import LeKiwi
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return LeKiwi(config)
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elif config.type == "stretch3":
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from .stretch3 import Stretch3Robot
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return Stretch3Robot(config)
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elif config.type == "viperx":
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from .viperx import ViperX
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return ViperX(config)
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elif config.type == "mock_robot":
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from tests.mocks.mock_robot import MockRobot
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return MockRobot(config)
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else:
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raise ValueError(config.type)
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def ensure_safe_goal_position(
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goal_present_pos: dict[str, tuple[float, float]], max_relative_target: float | dict[float]
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) -> dict[str, float]:
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"""Caps relative action target magnitude for safety."""
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if isinstance(max_relative_target, float):
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diff_cap = dict.fromkeys(goal_present_pos, max_relative_target)
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elif isinstance(max_relative_target, dict):
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if not set(goal_present_pos) == set(max_relative_target):
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raise ValueError("max_relative_target keys must match those of goal_present_pos.")
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diff_cap = max_relative_target
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else:
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raise TypeError(max_relative_target)
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warnings_dict = {}
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safe_goal_positions = {}
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for key, (goal_pos, present_pos) in goal_present_pos.items():
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diff = goal_pos - present_pos
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max_diff = diff_cap[key]
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safe_diff = min(diff, max_diff)
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safe_diff = max(safe_diff, -max_diff)
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safe_goal_pos = present_pos + safe_diff
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safe_goal_positions[key] = safe_goal_pos
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if abs(safe_goal_pos - goal_pos) > 1e-4:
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warnings_dict[key] = {
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"original goal_pos": goal_pos,
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"safe goal_pos": safe_goal_pos,
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}
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if warnings_dict:
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logging.warning(
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"Relative goal position magnitude had to be clamped to be safe.\n"
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f"{pformat(warnings_dict, indent=4)}"
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)
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return safe_goal_positions
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