Learning-Based Risk-Bounded Path Planning Under Environmental Uncertainty

Building a general and efficient path planning framework in uncertain nonconvex environments is challenging due to the safety constraints and complex configuration. Traditional avenues usually involve convexifying obstacles and presume Gaussian distribution, which are not universal. Meanwhile, the f...

Full description

Bibliographic Details

Published in:	IEEE transactions on automation science and engineering Vol. 21; no. 3; pp. 4460 - 4470
Main Authors:	Meng, Fei, Chen, Liangliang, Ma, Han, Wang, Jiankun, Meng, Max Q.-H.
Format:	Journal Article
Language:	English
Published:	IEEE 01.07.2024
Subjects:	Collision avoidance deep learning methods Environmental factors Path planning Planning Probabilistic logic risk-bounded path planning Robots Sampling-based algorithm Three-dimensional displays Uncertainty
ISSN:	1545-5955, 1558-3783
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!