Decentralized Simultaneous Multi-target Exploration using a Connected Network of Multiple Robots

Thomas Nestmeyer 1 Paolo Robuffo Giordano 2 Heinrich H. Bülthoff 1 Antonio Franchi 3
2 Lagadic - Visual servoing in robotics, computer vision, and augmented reality
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Rennes – Bretagne Atlantique , IRISA_D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
3 LAAS-RIS - Équipe Robotique et InteractionS
LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse]
Abstract : This paper presents a novel decentralized control strategy for a multi-robot system that enables parallel multi-target exploration while ensuring a time-varying connected topology in cluttered 3D environments. Flexible continuous connectivity is guaranteed by building upon a recent connectivity maintenance method, in which limited range, line-of-sight visibility, and collision avoidance are taken into account at the same time. Completeness of the decentralized multi-target exploration algorithm is guaranteed by dynamically assigning the robots with different motion behaviors during the exploration task. One major group is subject to a suitable downscaling of the main traveling force based on the traveling efficiency of the current leader and the direction alignment between traveling and connectivity force. This supports the leader in always reaching its current target and, on a larger time horizon, that the whole team realizes the overall task in finite time. Extensive Monte Carlo simulations with a group of several quadrotor UAVs show the scalability and effectiveness of the proposed method and experiments validate its practicability.
Type de document :
Article dans une revue
Autonomous Robots, Springer Verlag, 2017, 41 (4), pp.989-1011. 〈10.1007/s10514-016-9578-9〉
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https://hal.inria.fr/hal-01332937
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Soumis le : jeudi 16 juin 2016 - 16:28:38
Dernière modification le : vendredi 16 novembre 2018 - 01:28:21

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Thomas Nestmeyer, Paolo Robuffo Giordano, Heinrich H. Bülthoff, Antonio Franchi. Decentralized Simultaneous Multi-target Exploration using a Connected Network of Multiple Robots. Autonomous Robots, Springer Verlag, 2017, 41 (4), pp.989-1011. 〈10.1007/s10514-016-9578-9〉. 〈hal-01332937〉

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