AI RESEARCH
Learning Material-Aware Hamiltonian Risk Fields for Safe Navigation
arXiv CS.LG
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ArXi:2605.07038v1 Announce Type: new Risk-aware navigation should be selective: a policy should expose evasive degrees of freedom only when the local scene admits a lower-risk feasible maneuver, and suppress them when no safer alternative exists. We show that adding one context-energy term to a port-Hamiltonian navigation policy produces a learned force channel with exactly this falsifiable signature.