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Article Dans Une Revue IEEE Transactions on Automation Science and Engineering Année : 2022

Decentralized control of a heterogeneous human-robot team for exploration and patrolling

Résumé

We present a decentralized connectivity-maintenance control framework for an heterogeneous human-robot team. The algorithm is able to manage a team composed of an arbitrary number of mobile robots (drones and ground robots in our case) and humans, for collaboratively achieving exploration and patrolling tasks. Differently from other works on the subject, here the human user physically becomes part of the team, moving in the same environment of the robots and receiving information about the team connectivity through wearable haptics or audio feedback. While the human explores the environment, the robots move so as to keep the team connected via a connectivity-maintenance algorithm; at the same time, each robot can also be assigned with a specific target to visit. We carried out three hu- man subject experiments, both in virtual and real environments. Results show that the proposed approach is effective in a wide range of scenarios. Moreover, providing either haptic or audio feedback for conveying information about the team connectivity significantly improves the performance of the considered tasks, although users significantly preferred receiving haptic stimuli w.r.t. the audio ones.
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Licence : CC BY - Paternité
Licence : CC BY - Paternité

Dates et versions

hal-03321834 , version 1 (18-08-2021)

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Paternité

Identifiants

Citer

Marco Aggravi, Giuseppe Sirignano, Paolo Robuffo Giordano, Claudio Pacchierotti. Decentralized control of a heterogeneous human-robot team for exploration and patrolling. IEEE Transactions on Automation Science and Engineering, 2022, 19 (4), pp.3109-3125. ⟨10.1109/TASE.2021.3106386⟩. ⟨hal-03321834⟩
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