Workspace Allocation for Team of Robots with Different Actuation Capabilities

Mert Turanli, Hakan Temeltas

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

4 Citations (Scopus)

Abstract

In this paper, the adaptation of multiple agents to actuation performance ariations under localization uncertainty is inestigated. The agents are modeled as nonholonomic wheeled mobile ehicles and Guaranteed Power Diagrams (GPD or GPD) are used in order the robots to partition the workspace under the assumption that the locations of the agents are known within uncertainty circles. An online adaptie estimation algorithm is used for each agent to calculate the weight of its GP-cell. So, the robots accomplish the coerage control to perform a collaboratie task by giing larger portions of the workspace to the agents that hae better actuation performances and smaller regions to the ones whose performances are worse than the other agents. Simulation results and ROS implementation show the effectieness of the algorithm.

Original languageEnglish
Title of host publication2018 International Conference on Control and Robots, ICCR 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages11-18
Number of pages8
ISBN (Electronic)9781538682432
DOIs
Publication statusPublished - 13 Nov 2018
Event2018 International Conference on Control and Robots, ICCR 2018 - Hong Kong, Hong Kong
Duration: 15 Sept 201817 Sept 2018

Publication series

Name2018 International Conference on Control and Robots, ICCR 2018

Conference

Conference2018 International Conference on Control and Robots, ICCR 2018
Country/TerritoryHong Kong
CityHong Kong
Period15/09/1817/09/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • actuation ariations
  • coerage control
  • guaranteed power oronoi diagrams
  • workspace allocation

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