Generalization in multi-arm collaboration can be studied as composing familiar atomic skills in new ways across arms. However, existing evaluations offer limited insight into which training and architectural choices support this ability under different coordination requirements. We introduce \textbf{ACG-Bench}, a bench...
Zai-Bin Zhang, Bing-Hao Ran, Yu-Han Wu et al.· 0 citations
Multi-agent manipulation naturally produces multiple task-driven viewpoints: every arm carries a wrist camera and moves through the scene while acting. Yet these observations are typically underutilized, and active perception in manipulation is still often treated as requiring a dedicated sensing agent. We introduce MA...
B. N. Chen, Li Kang, Heng Zhou et al.· 0 citations
MA-VLA decomposes cooperative behavior into mid-level atomic prompts and allocates them to individual arms, enabling explicit subgoal specification and compositional reuse across tasks and indicates that structured, per-arm atomic action assignment offers a practical route to scalable generalization in multi-arm embodi...
Zai-Bin Zhang, Jun-Lan Xiao, Zhong-Bo Zhang et al.· 4 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.