Multirobot Persistent Patrolling in Communication-Restricted Environments

In multirobot patrolling, a team of robots is deployed in an environment with the aim of keeping under observation a set of locations of interest. In several realistic mission scenarios, only human operators sitting at a base station are able to assess the situation on the basis of data sent by robots. Examples include watching pictures or video streams to detect intruders and correlating measurements to detect leaks of contaminants. We assume that a communication infrastructure is available only in some regions of the environments, from where messages can be exchanged with a sufficient bandwidth between the robots and the base station. In this paper, we first extend the classical multirobot persistent patrolling framework and the related idleness evaluation metrics to such environments with a limited number of “communication zones”. Then, we present some centralized and distributed patrolling strategies tailored for this communication-restricted framework. Finally, we evaluate their performance using ROS/Stage simulation.

[1]  Stefano Carpin,et al.  Online patrolling using hierarchical spatial representations , 2012, 2012 IEEE International Conference on Robotics and Automation.

[2]  Geoffrey A. Hollinger,et al.  Multirobot Coordination With Periodic Connectivity: Theory and Experiments , 2012, IEEE Transactions on Robotics.

[3]  David Portugal,et al.  Multi-robot patrolling algorithms: examining performance and scalability , 2013, Adv. Robotics.

[4]  Nicola Basilico,et al.  Minimizing communication latency in multirobot situation-aware patrolling , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[5]  Sergio F. Ochoa,et al.  Human-centric wireless sensor networks to improve information availability during urban search and rescue activities , 2015, Inf. Fusion.

[6]  Vijay Kumar,et al.  Hybrid architecture for communication-aware multi-robot systems , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[7]  Morgan Quigley,et al.  ROS: an open-source Robot Operating System , 2009, ICRA 2009.

[8]  Daniele Nardi,et al.  Multi-robot patrolling with coordinated behaviours in realistic environments , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  Bohdana Ratitch,et al.  Multi-agent patrolling with reinforcement learning , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

[10]  Alexis Drogoul,et al.  Multi-agent Patrolling: An Empirical Analysis of Alternative Architectures , 2002, MABS.

[11]  Yann Chevaleyre Theoretical analysis of the multi-agent patrolling problem , 2004 .

[12]  Vijay Kumar,et al.  Cooperative multi-target localization with noisy sensors , 2013, 2013 IEEE International Conference on Robotics and Automation.

[13]  Cesare Stefanelli,et al.  Multiple-UAV coordination and communications in tactical edge networks , 2012, IEEE Communications Magazine.

[14]  Noa Agmon,et al.  Multi-robot area patrol under frequency constraints , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[15]  Nicola Basilico,et al.  Leader-follower strategies for robotic patrolling in environments with arbitrary topologies , 2009, AAMAS.

[16]  Michail G. Lagoudakis,et al.  Guaranteed-Performance Multi-robot Routing under Limited Communication Range , 2008, DARS.

[17]  Richard Vaughan,et al.  Massively multi-robot simulation in stage , 2008, Swarm Intelligence.