Scheduling mobile exploration tasks for environment learning
Conference Paper, Proceedings of 12th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS '13), pp. 1255 - 1256, May, 2013
Abstract
Autonomous mobile service robots navigate in their environments in order to perform tasks requested by users. We envision service robots learning about their environment by scheduling exploration tasks in which they seek out new knowledge and using this knowledge to improve the services they offer. We present the Task Graph algorithm, which chooses times for user requests based on the robot’s knowledge so as to increase the chance of success, and schedules exploration tasks in between user requests by reducing the problem to a graph search.
BibTeX
@conference{Korein-2013-122744,author = {Max Korein and Brian Coltin and Manuela Veloso},
title = {Scheduling mobile exploration tasks for environment learning},
booktitle = {Proceedings of 12th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS '13)},
year = {2013},
month = {May},
pages = {1255 - 1256},
}
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