Robotics
LeRobot
Safetensors
act
imitation-learning
reinforcement-learning
grpo
mujoco
bimanual
roboeval
hybird-control
Instructions to use Sa74ll/LocalModels-ACT-bimanual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use Sa74ll/LocalModels-ACT-bimanual with LeRobot:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Submitted variant T: PickBook t_close 6, t_lift 1.0 on top of R
Browse files
SHA1SUMS.txt
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@@ -9,7 +9,7 @@ a6dd75ccc8e6a27c80d6991922a7e22115f7495d submission/checkpoint/LiftPot/policy_p
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cb6034b3f50ca44742f3bf2ac5967d64f605f999 submission/checkpoint/LiftPot/train_config.json
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6b0ae04424367b8f76c82975b28537e5649f2c5c submission/checkpoint/LiftTray/hybrid.json
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d1ff4f07d748ae3e1fb966861e3226c95360e23e submission/checkpoint/PackBox/hybrid.json
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dff829d7ba30c5b42bd87ebebe28aa6d26351432 submission/checkpoint/RotateValve/hybrid.json
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2fb4f07db36ad5c35072bf7d0b35dd7a7509300e submission/checkpoint/StackSingleBookShelf/hybrid.json
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fcc61e40288e3963c3cdb3ca18b3c803321fda41 submission/checkpoint/StackTwoBlocks/hybrid.json
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cb6034b3f50ca44742f3bf2ac5967d64f605f999 submission/checkpoint/LiftPot/train_config.json
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6b0ae04424367b8f76c82975b28537e5649f2c5c submission/checkpoint/LiftTray/hybrid.json
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d1ff4f07d748ae3e1fb966861e3226c95360e23e submission/checkpoint/PackBox/hybrid.json
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25af675ef558427300bc873545b9b81c1dfaeb3a submission/checkpoint/PickSingleBookFromTable/hybrid.json
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dff829d7ba30c5b42bd87ebebe28aa6d26351432 submission/checkpoint/RotateValve/hybrid.json
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2fb4f07db36ad5c35072bf7d0b35dd7a7509300e submission/checkpoint/StackSingleBookShelf/hybrid.json
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fcc61e40288e3963c3cdb3ca18b3c803321fda41 submission/checkpoint/StackTwoBlocks/hybrid.json
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submission/checkpoint/PickSingleBookFromTable/hybrid.json
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@@ -1 +1 @@
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{"policy": "hybrid_pk", "cfg": {"t_reach": [0.5, 1.6], "t_in": 0.4}}
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{"policy": "hybrid_pk", "cfg": {"t_reach": [0.5, 1.6], "t_in": 0.4, "t_close": 6, "t_lift": 1.0}}
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