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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Vydané v:	Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems s. 8861 - 8867
Hlavní autori:	Huang, Lu, Jing, Xingjian
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 14.10.2024
Predmet:	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
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