The COMRADE System for Multirobot Autonomous Landmine Detection in Postconflict Regions
Persistent URL
Author(s)
Dasgupta, Prithviraj
Baca, José
Guruprasad, K. R.
Muñoz-Meléndez, Angélica
Jumadinova, Janyl
Date Issued
January 12, 2015
Abstract
We consider the problem of autonomous landmine detection using a team of mobile robots. Previous research on robotic landmine detection mostly employs a single robot equipped with a landmine detection sensor to detect landmines. We envisage that the quality of landmine detection can be significantly improved if multiple robots are coordinated to detect landmines in a cooperative manner by incrementally fusing the landmine-related sensor information they collect and then use that information to visit locations of potential landmines. Towards this objective, we describe a multirobot system called COMRADES to address different aspects of the autonomous landmine detection problem including distributed area coverage to detect and locate landmines, information aggregation to fuse the sensor information obtained by different robots, and multirobot task allocation (MRTA) to enable different robots to determine a suitable sequence to visit locations of potential landmines while reducing the time required and battery expended. We have used commercially available all-terrain robots called Coroware Explorer that are customized with a metal detector to detect metallic objects including landmines, as well as indoor Corobot robots, both in simulation and in physical experiments, to test the different techniques in COMRADES.
Journal
Journal of Robotics
Department
Computer Science
Citation
Prithviraj Dasgupta, José Baca, K. R. Guruprasad, Angélica Muñoz-Meléndez, and Janyl Jumadinova, “The COMRADE System for Multirobot Autonomous Landmine Detection in Postconflict Regions,” Journal of Robotics, vol. 2015, Article ID 921370, 17 pages, 2015. doi:10.1155/2015/921370
Publisher
Hindawi
Version of Article
Published article
DOI
10.1155/2015/921370
ISSN
1687-9600
1687-9619
Rights
© 2015 Prithviraj Dasgupta et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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