Integrating human swarm interaction in a distributed robotic control system

Cristian Vasile, Ana Pavel, Cǎtǎlin Buiu

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

21 Scopus citations

Abstract

A multi-agent control architecture for swarm robotics applications which includes an innovative human-swarm interface is proposed. The architecture is designed to allow an operator to monitor and guide a robotic swarm to accomplish its missions. The system is composed of three types of agents, a graphical user interface agent, and a pair of a local and a social agent for each robot in the swarm. The local agent implements low level robot-specific functionalities like movement, obstacle avoidance and localization. The control algorithm is implemented in the social agent and is based on an adapted distributed version of the Particle Swarm Optimization technique. An original method, Gravity Points Method, for representing goals which are used by the human-swarm interface is also proposed. Experimental results using simulated e-puck robots are presented and directions for further developments are given.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Automation Science and Engineering, CASE 2011
Pages743-748
Number of pages6
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 7th IEEE International Conference on Automation Science and Engineering, CASE 2011 - Trieste, Italy
Duration: 24 Aug 201127 Aug 2011

Publication series

NameIEEE International Conference on Automation Science and Engineering
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference2011 7th IEEE International Conference on Automation Science and Engineering, CASE 2011
Country/TerritoryItaly
CityTrieste
Period24/08/1127/08/11

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