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1. A world-model-enhanced VLA for steerable dexterous manipulation, along with optimized training infra.

   Python 86 5

2. An egocentric data pipeline that curates in-the-wild egocentric human videos into fully-annotated training data.

   Python 79 6

3. A unified stack for teleoperation, model inference, and human-in-the-loop correction on a bimanual dexterous robot platform.

   Python 48 3

4. Official implementation of HARL algorithms based on PyTorch.

   Python 942 134

5. [AAAI'26 Oral] DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping

   Python 559 45

6. Paper list in the survey: A Survey on Vision-Language-Action Models: An Action Tokenization Perspective

   567 22