2 papers
cs.AI2026
Direct Experience World-Model Optimization: Learning the World Beyond Action Imitation
Xiangcheng Zhan, Zirui Chen, Yicheng Zhao +2
World-Action Models (WAMs) couple action generation with predictions of how physical interactions unfold. However, current post-deployment learning paradigms typically improve beha…
cs.RO2026
TouchWorld: A Predictive and Reactive Tactile Foundation Model for Dexterous Manipulation
Jianyi Zhou, Feiyang Hong, Yunhao Li +9
Dexterous manipulation in everyday environments requires both anticipation and reaction: a robot must predict how contact should evolve while rapidly correcting local errors caused…