日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
arXiv:2104.02298

Admissible heuristics for obstacle clearance optimization objectives

Admissible heuristics for obstacle clearance optimization objectives

シェア:XThreadsFacebookLINEはてブBluesky

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.