LeRobot ACT
Action Chunking Transformer for bimanual manipulation
Most robot control models make one decision at a time. ACT is smarter — it plans ahead and outputs a chunk of future moves at once. This makes it much smoother at two-handed tasks like folding clothes or doing dishes.
One of the easiest entry points into robot learning. The LeRobot library makes training and inference straightforward. If you have a cheap robot arm, you can be up and running in an afternoon.
Action Chunking with Transformers — a policy that predicts sequences of actions at once rather than one at a time, trained on ALOHA bimanual manipulation data.
ALOHA bimanual manipulation demonstrations (100+ tasks)
Fold a shirt with two robot arms
Train a LeRobot SO-101 arm in minutes
Baseline for bimanual manipulation benchmarks
Anyone with a computer can run this
RELATED DISCUSSIONS
Community →Seeded and planned prompts — not live forum activity yet.
- Community signalIntermediate / AdvancedHow should EAR track open robotics models?
Meta-discussion on ontology, benchmarks, and graph links for open-weight VLAs and manipulation models.
- Community signalIntermediate / AdvancedOpenVLA in the field — what breaks first?
Open Models room prompt linked to openvla-7b — inference, fine-tuning, and sim-to-real gaps. Seeded prompt only.
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