Decentralized and prioritized navigation and collision avoidance for multiple mobile robots

Giannis Roussos, Kostas J. Kyriakopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present an algorithm for the decentralised navigation of multiple mobile robots. Completely decentralised Navigation Functions are constructed, creating a potential field for each robot that gives rise to a feedback control law. The construction of the potential field incorporates limited sensing and explicit prioritisation in the form of priority classes. A non-circular sensing area creates asymmetrical sensing by reducing the influence of robots and obstacles behind each robot, introducing implicit priorities resembling "rules of the road". Static and moving obstacles are also taken into account, as well as malfunctioning robots that are unable to maneuver. A decentralised feedback control law based on the gradient of the potential field ensures convergence and collision avoidance for all robots, while respecting a lower speed bound. Simulation results demonstrate the efficacy of the proposed algorithm.

Original languageEnglish (US)
Title of host publicationDistributed Autonomous Robotic Systems - The 10th International Symposium, DARS 2010
Pages189-202
Number of pages14
DOIs
StatePublished - 2012
Event10th International Symposium on Distributed Autonomous Robotic Systems, DARS 2010 - Lausanne, Switzerland
Duration: Nov 1 2010Nov 3 2010

Publication series

NameSpringer Tracts in Advanced Robotics
Volume83 STAR
ISSN (Print)1610-7438
ISSN (Electronic)1610-742X

Conference

Conference10th International Symposium on Distributed Autonomous Robotic Systems, DARS 2010
Country/TerritorySwitzerland
CityLausanne
Period11/1/1011/3/10

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Artificial Intelligence

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