A game theoretic queuing approach to self-assessment in human-robot interaction systems
Conference Paper, Proceedings of (ICRA) International Conference on Robotics and Automation, pp. 58 - 63, May, 2011
Abstract
This paper presents a queueing model that ad dresses robot self-assessment in human-robot-interaction systems. We build the model based on a game theoretic queueing approach, and analyze four issues: 1) individual differences in operator skills/capabilities, 2) differences in difficulty of presenting tasks, 3) trade-off between human interaction and performance and 4) the impact of task heterogeneity in the optimal service decision-making and system performance. The subsequent analytical and numerical exploration helps under stand the way the decentralized decision-making scheme is affected by various service environments.
BibTeX
@conference{Dai-2011-7278,author = {Tinglong Dai and Katia Sycara},
title = {A game theoretic queuing approach to self-assessment in human-robot interaction systems},
booktitle = {Proceedings of (ICRA) International Conference on Robotics and Automation},
year = {2011},
month = {May},
pages = {58 - 63},
}
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.