Humanoid World Action Model With Joint State--Action Generat
Overview
Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: Humanoid World Action Model With Joint State--Action Generation. This research proposes HWAM, a Humanoid World Action Model that integrates state-action generation to bridge the gap between policy references and executed motion in humanoid robots. The model is trained through three co…
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Reported quantity · Reported success rate: 70.6 percent · Basis not reported
“erences, realized body motion, and visual outcomes. HWAM achieves the highest success rate among evaluated baselines on three real-robot tasks on the LimX OLI humanoid. On Candy Picking, HWAM achieves a 70.6% success rate, compared with 43.3% for Fast-WAM.”
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- arXiv Robotics — research abstractsHumanoid World Action Model With Joint State--Action Generation
This research proposes HWAM, a Humanoid World Action Model that integrates state-action generation to bridge the gap between policy references and executed motion in humanoid robots. The model is trained through three conditional paths and outperforms existing baselines in real-robot tasks, achieving a 70.6% success rate in Candy Picking.
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