Guiding Vector Fields for Following Occluded Paths

Weijia Yao, Bohuan Lin, Brian D.O. Anderson, Ming Cao

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

Accurately following a geometric desired path in a two-dimensional (2-D) space is a fundamental task for many engineering systems, in particular mobile robots. When the desired path is occluded by obstacles, it is necessary and crucial to temporarily deviate from the path for obstacle/collision avoidance. In this article, we develop a composite guiding vector field via the use of smooth bump functions and provide theoretical guarantees that the integral curves of the vector field can follow an arbitrary sufficiently smooth desired path and avoid collision with obstacles of arbitrary shapes. These two behaviors are reactive since path (re)planning and global map construction are not involved. To deal with the common deadlock problem, we introduce a switching vector field, and the Zeno behavior is excluded. Simulations are conducted to support the theoretical results.

Original languageEnglish
Pages (from-to)4091-4106
Number of pages16
JournalIEEE Transactions on Automatic Control
Volume67
Issue number8
Early online date31 May 2022
DOIs
Publication statusPublished - Aug 2022

Fingerprint

Dive into the research topics of 'Guiding Vector Fields for Following Occluded Paths'. Together they form a unique fingerprint.

Cite this