English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Distributed pursuit-evasion without mapping or global localization via local frontiers

Durham, J., Franchi, A., & Bullo, F. (2012). Distributed pursuit-evasion without mapping or global localization via local frontiers. Autonomous Robots, 32(1), 81-95. doi:10.1007/s10514-011-9260-1.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Durham, JW, Author
Franchi, A1, Author           
Bullo, F, Author
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

Content

show
hide
Free keywords: -
 Abstract: This paper addresses a visibility-based pursuit-evasion problem in which a team of mobile robots with limited sensing and communication capabilities must coordinate to detect any evaders in an unknown, multiply-connected planar environment. Our distributed algorithm to guarantee evader detection is built around maintaining complete coverage of the frontier between cleared and contaminated regions while expanding the cleared region. We detail a novel distributed method for storing and updating this frontier without building a map of the environment or requiring global localization. We demonstrate the functionality of the algorithm through simulations in realistic environments and through hardware experiments. We also compare Monte Carlo results for our algorithm to the theoretical optimum area cleared as a function of the number of robots available.

Details

show
hide
Language(s):
 Dates: 2012-01
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Autonomous Robots
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 32 (1) Sequence Number: - Start / End Page: 81 - 95 Identifier: -