In this paper a distributed strategy for the exploration of dangerous environment through a robot swarm is proposed. The robots support the exploration of an intervention team, who is wirelessly interconnected with the swarm. The wireless interconnections among the elements of the system are optimized during the exploration taking into account the behavior (i.e., the position and the movement) of the humans. To this end, a virtual spring mesh algorithm has been customized and experimentally validated on the Lego NXT platform. Preliminary results are reported and discussed to show the potentialities of the proposed method.

Wireless coverage optimization for robotic swarm in emergency scenario / Viani, Federico; Giarola, Enrico; Rocca, Paolo; Oliveri, Giacomo; Massa, Andrea. - STAMPA. - (2015), pp. 276-277. (Intervento presentato al convegno 2015 IEEE AP-S tenutosi a Vancouver nel July 19-25, 2015) [10.1109/APS.2015.7304524].

Wireless coverage optimization for robotic swarm in emergency scenario

Viani, Federico;Giarola, Enrico;Rocca, Paolo;Oliveri, Giacomo;Massa, Andrea
2015-01-01

Abstract

In this paper a distributed strategy for the exploration of dangerous environment through a robot swarm is proposed. The robots support the exploration of an intervention team, who is wirelessly interconnected with the swarm. The wireless interconnections among the elements of the system are optimized during the exploration taking into account the behavior (i.e., the position and the movement) of the humans. To this end, a virtual spring mesh algorithm has been customized and experimentally validated on the Lego NXT platform. Preliminary results are reported and discussed to show the potentialities of the proposed method.
2015
2015 IEEE Antennas and Propagation Society International Symposium Proceedings
Piscataway, NJ
IEEE
978-1-4799-7815-1
Viani, Federico; Giarola, Enrico; Rocca, Paolo; Oliveri, Giacomo; Massa, Andrea
Wireless coverage optimization for robotic swarm in emergency scenario / Viani, Federico; Giarola, Enrico; Rocca, Paolo; Oliveri, Giacomo; Massa, Andrea. - STAMPA. - (2015), pp. 276-277. (Intervento presentato al convegno 2015 IEEE AP-S tenutosi a Vancouver nel July 19-25, 2015) [10.1109/APS.2015.7304524].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/120085
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