Charles Pippin
ABSTRACT
This article applies a performance metric to the multi-robot patrolling task to more efficiently distribute patrol areas among robot team members. The multi-robot patrolling task employs multiple robots to perform frequent visits to known areas in an environment, while minimizing the time between node visits. Conventional strategies for performing this task assume that the robots will perform as expected and do not address situations in which some team members patrol inefficiently. However, reliable performance of team members may not always be a valid assumption. This paper considers an approach for monitoring robot performance in a patrolling task and dynamically reassigning tasks from those team members that perform poorly. Experimental results from simulation and on a team of indoor robots demonstrate that in using this approach, tasks can be dynamically and more efficiently distributed in a multi-robot patrolling application.
- R. C. Arkin. Behavior-Based Robotics, chapter 9. Cambridge, Mass., MIT Press, 1998. Google Scholar
Digital Library
- P. Beeson, N. Jong, and B. Kuipers. Towards autonomous topological place detection using the extended voronoi graph. In Robotics and Automation (ICRA), pages 4373--4379, April 2005.Google ScholarCross Ref
- D. P. Bertsekas. The auction algorithm for assignment and other network flow problems: A tutorial. Interfaces, 20(4):133--149, 1990.Google ScholarDigital Library
- Y. Chevaleyre. Theoretical analysis of the multi-agent patrolling problem. In Intelligent Agent Technology, 2004. (IAT 2004). Proceedings. IEEE/WIC/ACM International Conference on, pages 302--308, Sept. 2004. Google ScholarDigital Library
- Y. Elmaliach, N. Agmon, and G. Kaminka. Multi-robot area patrol under frequency constraints. In Robotics and Automation, 2007 IEEE International Conference on, pages 385--390, April 2007.Google ScholarCross Ref
- K.-S. Hwang, J.-L. Lin, and H.-L. Huang. Cooperative patrol planning of multi-robot systems by a competitive auction system. In ICCAS-SICE, 2009, pages 4359--4363, aug. 2009.Google ScholarCross Ref
- L. Iocchi, L. Marchetti, and D. Nardi. Multi-robot patrolling with coordinated behaviours in realistic environments. In Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on, pages 2796--2801, Sept. 2011.Google ScholarCross Ref
- A. S. Lewis and L. G. Weiss. Intelligent autonomy and performance metrics for multiple, coordinated UAVs. Integrated Computer-Aided Eng., 12(3):251--262, July 2005. Google ScholarDigital Library
- T. Menezes, P. Tedesco, and G. Ramalho. Negotiator agents for the patrolling task. In J. Sichman, H. Coelho, and S. Rezende, editors, Advances in Artificial Intelligence - IBERAMIA-SBIA 2006, volume 4140 of Lecture Notes in Computer Science, pages 48--57. Springer Berlin/Heidelberg, 2006. Google ScholarDigital Library
- T. Michael. How to Guard an Art Gallery and Other Discrete Mathematical Adventures. Baltimore: The Johns Hopkins University Press, 2009.Google Scholar
- L. E. Parker. ALLIANCE: An architecture for fault tolerant multi-robot cooperation. In IEEE Transactions on Robotics and Automation, volume 14, pages 220--240, 1998.Google ScholarCross Ref
- F. Pasqualetti, A. Franchi, and F. Bullo. On optimal cooperative patrolling. In Decision and Control (CDC), 2010 49th IEEE Conference on, pages 7153--7158, Dec. 2010.Google ScholarCross Ref
- F. Pasqualetti, A. Franchi, and F. Bullo. On cooperative patrolling: Optimal trajectories, complexity analysis, and approximation algorithms. Robotics, IEEE Transactions on, 28(3):592--606, June 2012.Google ScholarDigital Library
- C. Pippin and H. Christensen. Performance based monitoring using statistical control charts on multi-robot teams. In Information Fusion (FUSION), 2012 15th International Conference on, pages 390--395, July 2012.Google Scholar
- D. Portugal and R. Rocha. MSP algorithm: multi-robot patrolling based on territory allocation using balanced graph partitioning. In Proceedings of the 2010 ACM Symposium on Applied Computing, SAC '10, pages 1271--1276, New York, NY, USA, 2010. ACM. Google ScholarDigital Library
- D. Portugal and R. Rocha. On the performance and scalability of multi-robot patrolling algorithms. In Safety, Security, and Rescue Robotics (SSRR), 2011 IEEE International Symposium on, pages 50--55, Nov. 2011.Google Scholar
- M. Quigley, B. Gerkey, K. Conley, J. Faust, T. Foote, J. Leibs, E. Berger, R. Wheeler, and A. Y. Ng. ROS: an open-source robot operating system. In Proceedings of the Open-Source Software workshop at the International Conference on Robotics and Automation (ICRA), 2009.Google Scholar
- E. Stump and N. Michael. Multi-robot persistent surveillance planning as a vehicle routing problem. In Automation Science and Engineering (CASE), 2011 IEEE Conference on, pages 569--575, Aug. 2011.Google ScholarCross Ref
- R. Vaughan. Massively multi-robot simulation in Stage. Swarm Intelligence, pages 189--208, 2008.Google Scholar
Index Terms
- Performance based task assignment in multi-robot patrolling
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