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Headlines · 2
- Just Action Models unify two robot-control research paths
A paper by Yonghao Yu, Lang Huang, Runyi Li, and Toshihiko Yamasaki proposes Just Action Model (JAM), a framework combining a pretrained visual backbone, an action expert, an action loss, and a foresight loss. The reported JAM policies outperform matched FastWAM and ImageWAM counterparts on LIBERO and LIBERO-Plus, while achieving similar or slightly higher success rates on RoboTwin. The paper also reports that cached foresight targets reduce estimated online training FLOPs per sample per update by 73% relative to FastWAM.
Hugging Face · Papers · 🔥 0 - Ropedia W0 Brings Human Experience to Cross-Embodiment World Models
Ropedia W0 is a world foundation model for egocentric locomotion and manipulation across human and robot embodiments, using camera poses and projected skeletons as a shared motion interface. Its Xp-Data contains 10,000 hours of human egocentric video and 3,000 hours of robot data, while the paper reports state-of-the-art results on five cross-embodiment benchmarks and real-time, minute-long rollouts after distillation.
Hugging Face · Papers · 🔥 0
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