The problem of multi-agent robotic survey of an unknown area is approached through a game theoretic frame-work. This is meant to enable cooperation in the group of robotic explorers reflecting their common objectives to minimize the effort in the surveying task, without requiring expensive exchanges of signaling. The game theoretic approach can be applied to avoid any preliminary planning, but just exploiting the ability of the robots to take smart actions based on the state of the environment and the behaviors of other neighboring agents. We discuss how the choice of different utility functions can improve the collaboration among the robots and lead to more efficient results.

Pasini, L., Policante, A., Rusmini, D., Cisotto, G., Gindullina, E., Badia, L. (2022). On the Choice of Utility Functions for Multi-Agent Area Survey by Unmanned Explorers. In 2022 International Wireless Communications and Mobile Computing, IWCMC 2022 (pp.1136-1141) [10.1109/IWCMC55113.2022.9824372].

On the Choice of Utility Functions for Multi-Agent Area Survey by Unmanned Explorers

Cisotto, G;
2022

Abstract

The problem of multi-agent robotic survey of an unknown area is approached through a game theoretic frame-work. This is meant to enable cooperation in the group of robotic explorers reflecting their common objectives to minimize the effort in the surveying task, without requiring expensive exchanges of signaling. The game theoretic approach can be applied to avoid any preliminary planning, but just exploiting the ability of the robots to take smart actions based on the state of the environment and the behaviors of other neighboring agents. We discuss how the choice of different utility functions can improve the collaboration among the robots and lead to more efficient results.
No
slide + paper
Game theory; Intelligent robots; Multi-robot systems; Simultaneous localization and mapping;
English
18th IEEE International Wireless Communications and Mobile Computing, IWCMC 2022 - 0 May 2022 through 3 June 2022
978-1-6654-6749-0
Pasini, L., Policante, A., Rusmini, D., Cisotto, G., Gindullina, E., Badia, L. (2022). On the Choice of Utility Functions for Multi-Agent Area Survey by Unmanned Explorers. In 2022 International Wireless Communications and Mobile Computing, IWCMC 2022 (pp.1136-1141) [10.1109/IWCMC55113.2022.9824372].
Pasini, L; Policante, A; Rusmini, D; Cisotto, G; Gindullina, E; Badia, L
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/391757
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