ACT Policy - SO-100 Pick and Place
Model trained on 50 episodes of pick-and-place task with SO-100 robotic arm.
Training Details
- Steps: 20,000
- Dataset: tomduf70/so100_first_dataset
- Architecture: ACT (Action Chunking Transformer)
- Vision Backbone: ResNet18
- Final Loss: ~0.089
Hardware
- Robot: SO-100 (Follower/Leader setup)
- Cameras: 2x (top view + side view, 640x480 @ 15fps)
Usage
from lerobot import LeRobotPolicy
policy = LeRobotPolicy.from_pretrained("tomduf70/act_so100_v1_checkpoint_20k")
Or with CLI:
lerobot-record --policy.path=tomduf70/act_so100_v1_checkpoint_20k ...
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