CQUniversity
Browse

File(s) not publicly available

Decision-making in a multi-robot system for odor source localization

conference contribution
posted on 2017-12-06, 00:00 authored by Qiang Lu, Qing-Long Han
This paper deals with the problem of odor source localization using multiple mobile robots. A cooperative control solution, which is used to coordinate the robot group to locate the odor source, is proposed and independently executed by each robot. Firstly, a particle filter, which can estimate the position of the odor source by using all observations among the robot group, is used. Secondly, based on the estimated position of the odor source, a movement direction is planned by a leader robot, which currently detects odor clues. Thirdly, two decision-making control laws, which can enable the robot group to make a parallel motion or a circular motion in terms of the planned direction and the estimated position of the odor source, are developed. Finally, the performance capabilities of the proposed cooperative control solution are illustrated for the problem of odor source localization.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Parent Title

Proceedings : 37th Annual Conference of the IEEE Industrial Electronics Society (IECON 2011), Melbourne, Victoria, 7-10 November 2011.

Start Page

74

End Page

79

Number of Pages

6

Start Date

2011-01-01

Finish Date

2011-01-01

ISSN

1553-572X

ISBN-13

9781612849720

Location

Melbourne, Vic., Australia

Publisher

IEEE Computer Society

Place of Publication

Piscataway, US

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

Centre for Intelligent and Networked Systems (CINS); Institute for Resource Industries and Sustainability (IRIS);

Era Eligible

  • Yes

Name of Conference

IEEE Industrial Electronics Society. Conference