Capabilities in Heterogeneous Multi Robot Systems
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 3207-3207.
Abstract
The increasing variety of robotic systems create the need for flexible architectures enabling easy integration of new robot configurations into existing multi-robot systems. This requires methods for general reasoning about what different robots are capable of doing. Teamwork is a very important factor in complex, dynamic domains. In heterogeneous teams, robustness and flexibility are increased by the diversity of the robots, each contributing different capabilities. Consequently it is reasonable to explicitly take the robots' capabilities into account when determining which robot is best suited for a task. This work develops a framework that formalizes robots' capabilities, relating to hard- and software configurations and providing a means to estimate a robot's suitability for a task. A learning algorithm for robot capabilities is included.
@inproceedings{ijcai2013p490,
title = {Capabilities in Heterogeneous Multi Robot Systems},
author = {Buehler, Jennifer Elisabeth},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {3207--3207},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/490},
}
TY - CPAPER TI - Capabilities in Heterogeneous Multi Robot Systems AU - Buehler, Jennifer Elisabeth T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 3207 EP - 3207 UR - https://ijcai.org/proceedings/2013/490 ER -Copied
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