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...

Full description

Bibliographic Details

Published in:	Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems pp. 8861 - 8867
Main Authors:	Huang, Lu, Jing, Xingjian
Format:	Conference Proceeding
Language:	English
Published:	IEEE 14.10.2024
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!