Asymptotically Optimal Lazy Lifelong Sampling-based Algorithm for Efficient Motion Planning in Dynamic Environments

The paper introduces an asymptotically optimal lifelong sampling-based path planning algorithm that combines the merits of lifelong planning algorithms and lazy search algorithms for rapid replanning in dynamic environments where edge evaluation is expensive. By evaluating only sub-path candidates f...

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Veröffentlicht in:	Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems S. 8861 - 8867
Hauptverfasser:	Huang, Lu, Jing, Xingjian
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 14.10.2024
Schlagworte:	asymptotically optimal Costs dynamic environments Dynamics Heuristic algorithms Intelligent robots lazy search lifelong planning Maintenance engineering Motion planning Path planning Planning sampling-based Simulation
ISSN:	2153-0866
Online-Zugang:	Volltext
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