Belief Consistency Between Foundation-Model Evidence and Geometric Perception in Persistent Robotic Maps 事件

Belief Consistency Between Foundation-Model Evidence and Geometric Perception in Persistent Robotic Maps arXiv:2606.00318v1 Announce Type: cross Abstract: Persistent maps used by autonomous robots increasingly fuse a geometric perception stack whose assertions are well-characterized with a foundation-model channel that produces semantic claims without calibrated reliability about the same scene. Contemporary mapping systems integrate the two channels by treating the foundation-model channel as