We consider the problem of computing patrolling strategies under communication constraints for a team of autonomous robots employed in repeated surveillance missions on a set of predefined locations. We assume the presence of a communication infrastructure providing only some regions of the environment with a communication link to a mission control center (MCC). We define the problem of computing a joint patrolling strategy that minimizes communication latencies, defined as the delays between inspecting some locations and reporting the outcome to the MCC. We provide and experimentally evaluate a MILP formulation and a heuristic method.
Minimizing communication latency in multirobot situation-aware patrolling / J. Banfi, N. Basilico, F. Amigoni - In: Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on[s.l] : IEEE, 2015. - ISBN 9781479999941. - pp. 616-622 (( convegno IROS tenutosi a Hamburg nel 2015 [10.1109/IROS.2015.7353436].
Minimizing communication latency in multirobot situation-aware patrolling
N. Basilico
;
2015
Abstract
We consider the problem of computing patrolling strategies under communication constraints for a team of autonomous robots employed in repeated surveillance missions on a set of predefined locations. We assume the presence of a communication infrastructure providing only some regions of the environment with a communication link to a mission control center (MCC). We define the problem of computing a joint patrolling strategy that minimizes communication latencies, defined as the delays between inspecting some locations and reporting the outcome to the MCC. We provide and experimentally evaluate a MILP formulation and a heuristic method.File | Dimensione | Formato | |
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