Dealing with Perception Errors in Multi-Robot System Coordination
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 2091-2095.
Abstract
A prerequisite to efficient behavior by a multi-robot team is the ability to accurately perceive the environment. In this paper, we present an approach to deal with sensing uncertainty at the coordination level. Specifically, robots attach information regarding features that caused the initiation of a course of action, to any coordination message for that activity. Further information regarding such features, acquired by the team, are then combined and the expected utility of the started action is re-evaluated accordingly. Experiments show that the approach allows to coordinate a large group of robots, addressing sensing uncertainty in a tractable way.
@inproceedings{ijcai2007p337,
title = {Dealing with Perception Errors in Multi-Robot System Coordination},
author = {Farinelli, Alessandro and Nardi, Daniele and Scerri, Paul and Ingenito, Alberto},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {2091--2095},
year = {2007},
url = {https://ijcai.org/proceedings/2007/337},
}
TY - CPAPER TI - Dealing with Perception Errors in Multi-Robot System Coordination AU - Farinelli, Alessandro AU - Nardi, Daniele AU - Scerri, Paul AU - Ingenito, Alberto T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 2091 EP - 2095 UR - https://ijcai.org/proceedings/2007/337 ER -Copied
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