LIBERO has emerged as a widely adopted benchmark for evaluating robotic manipulation policies. However, strong performance on LIBERO does not necessarily indicate robust embodied capabilities, as models may exploit benchmark-specific regularities rather than generalize to diverse operating conditions. In this work, we...
Xue-Yang Zhou, Yang-Ming Xu, Qian-Jiang Li et al.· 0 citations
Robot learning in simulation depends on the objects the simulator offers. Many tasks need objects with separate parts, joints that allow the required motion, and physical properties that remain valid under contact. Existing methods recover this structure anew for every image: generative models predict parts and joints...
Hao-Yun Yang, Xue-Yang Zhou, Zi-Yi Xie et al.· 0 citations
Artificial superintelligence (ASI) requires AI to move beyond mastering existing knowledge toward exploring the unknown, creating new knowledge, and turning new ideas into verifiable results. However, the capabilities of today's AI systems are still largely built on learning, compressing, and applying existing human kn...
Jun-Wei Zhou, Zhen Sun, Binyu Li et al.· 2 citations
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