Fuzzy behavioral navigation for bottom collision avoidance of autonomous underwater vehicles

Ningning Zhao, Demin Xu, Jian Gao, Weisheng Yan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper proposes a fuzzy behavioral navigation system with a two-layered hierarchical architecture to address the bottom collision avoidance problem of autonomous underwater vehicles (AUVs) with depth-keeping mission. In the path planning module, depth keeping and collision avoidance behaviors and a fuzzy arbiter are included. And the fuzzy logic control is used in the pitch motion control module. The main advantage of the proposed approach is its simplicity, modularity, expandability, and applicability. Simulation studies are provided on a cruising type AUV to test the performances.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - First International Conference, ICIRA 2008, Proceedings
PublisherSpringer Verlag
Pages122-130
Number of pages9
EditionPART 1
ISBN (Print)3540885129, 9783540885122
DOIs
StatePublished - 2008
Event1st International Conference on Intelligent Robotics and Applications, ICIRA 2008 - Wuhan, China
Duration: 15 Oct 200817 Oct 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5314 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Intelligent Robotics and Applications, ICIRA 2008
Country/TerritoryChina
CityWuhan
Period15/10/0817/10/08

Keywords

  • Autonomous underwater vehicle
  • Bottom collision avoidance
  • Fuzzy behavioral navigation

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