EgoHumanoid-V2 is presented, the first egocentric human-to-humanoid skill transfer framework for coordinated whole-body loco-manipulation, which improves end-effector pose accuracy while preserving whole-body coordination and uses robot-arm rendering and training-time image augmentation to reduce the visual embodiment...
Jin Chen, Yi-Ming Jiang, Chong-Yang Xu et al.· 0 citations
HandEdit serves as a critical resource at the intersection of image editing and robotics: it advances embodiment-aware editing models while enabling scalable dexterous robotic learning from abundant human video data, paving the way for more generalizable Embodied AI.
Zhen-Jie Yang, Xingyu Jiao, Guopeng Zhong et al.· 5 citations
This work presents JITOMA (Just-In-Time On-demand Memory Activation), a closed-loop framework that unifies task reasoning, perception, and memory into a just-in-time growth process, and introduces JITOMA-Bench, a comprehensive suite for long-horizon multi-tasking and complex multi-step reasoning.