TY - GEN
T1 - Performance based task assignment in multi-robot patrolling
AU - Pippin, Charles
AU - Christensen, Henrik
AU - Weiss, Lora
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84877947572&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84877947572&partnerID=8YFLogxK
U2 - 10.1145/2480362.2480378
DO - 10.1145/2480362.2480378
M3 - Conference contribution
AN - SCOPUS:84877947572
SN - 9781450316569
T3 - Proceedings of the ACM Symposium on Applied Computing
SP - 70
EP - 76
BT - 28th Annual ACM Symposium on Applied Computing, SAC 2013
T2 - 28th Annual ACM Symposium on Applied Computing, SAC 2013
Y2 - 18 March 2013 through 22 March 2013
ER -