AI RESEARCH
Risk-Bounded Multi-Agent Visual Navigation via Iterative Risk Allocation
arXiv CS.AI
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ArXi:2509.08157v3 Announce Type: replace-cross Safe navigation is essential for autonomous systems operating in hazardous environments, especially when multiple agents must coordinate using only high-dimensional visual observations. While recent approaches successfully combine Goal-Conditioned RL (GCRL) for graph construction with Conflict-Based Search (CBS) for planning, they typically rely on deleting edges with high risk before running CBS to enforce safety.