FlexPath: Learned Semantic Path Priors for Image-Based Planning 事件

FlexPath: Learned Semantic Path Priors for Image-Based Planning arXiv:2606.10167v1 Announce Type: new Abstract: Recent learning-based path planners use neural networks to process visual map representations and approximate heuristics for classical search algorithms, yielding near-optimal paths with reduced search effort. However, these methods are tied to the shortest-path objective implicit in their supervision, which limits their flexibility to accommodate alternative criteria. We introduce Fl