2 papers
cs.RO2026
Recovering the View: Benchmarking Physical Active Vision for Occlusion Recovery in Robotic Manipulation
Kaijun Luo, Yudi Huang, Qijun Zhong +3
Physical active vision allows robots to change their viewpoint when task-relevant observations become unreliable, yet existing manipulation benchmarks provide limited support for s…
cs.RO2026
Bridge-WA: Learning Action-Relevant World Dynamics for Robotic Manipulation
Yongjie Bai, Hanting Wang, Mingtong Dai +5
General-purpose VLA models leverage large-scale vision-language priors to understand scenes and instructions, but primarily generate actions directly from the current observation.…