Single-query Path Planning Using Sample-efficient Probability Informed Trees.

Collision Avoidance Motion and Path Planning

Journal

IEEE robotics and automation letters
ISSN: 2377-3766
Titre abrégé: IEEE Robot Autom Lett
Pays: United States
ID NLM: 101680812

Informations de publication

Date de publication:
Jul 2021
Historique:
entrez: 31 5 2021
pubmed: 1 6 2021
medline: 1 6 2021
Statut: ppublish

Résumé

In this work, we present a novel sampling-based path planning method, called

Identifiants

pubmed: 34056101
doi: 10.1109/lra.2021.3068682
pmc: PMC8152220
mid: NIHMS1693026
doi:

Types de publication

Journal Article

Langues

eng

Pagination

4624-4631

Subventions

Organisme : Intramural NASA
ID : 80NSSC19M0124
Pays : United States

Références

IEEE Int Conf Robot Autom. 2011;:3706-3712
pubmed: 22294046
Int J Rob Res. 2015 Jun;34(7):883-921
pubmed: 27003958

Auteurs

Daniel Rakita (D)

Department of Computer Sciences, University of Wisconsin-Madison.

Bilge Mutlu (B)

Department of Computer Sciences, University of Wisconsin-Madison.

Michael Gleicher (M)

Department of Computer Sciences, University of Wisconsin-Madison.

Classifications MeSH