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.
coordination; networks
Settore INF/01 - Informatica
2015
Bosch
dji
et al.
KUKA
rethink robotics
SIAT
Book Part (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/454895
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