AI RESEARCH
Ego to World: Collaborative Spatial Reasoning in Embodied Systems via Reinforcement Learning
arXiv CS.CV
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ArXi:2603.14811v1 Announce Type: cross Understanding the world from distributed, partial viewpoints is a fundamental challenge for embodied multi-agent systems. Each agent perceives the environment through an ego-centric view that is often limited by occlusion and ambiguity. To study this problem, we