arXiv:2104.02298
Admissible heuristics for obstacle clearance optimization objectives
Admissible heuristics for obstacle clearance optimization objectives
著者: Marlin P. Strub, Jonathan D. Gammell
分類: cs.RO
原文アブストラクト
Obstacle clearance in state space is an important optimization objective in path planning because it can result in safe paths. This technical report presents admissible solution- and path-cost heuristics for this objective, which can be used to improve the performance of informed path planning algorithms.