A Game Theoretic Queueing Approach to Self-Assessment in Human-Robot Interaction Systems

摘要：

This paper presents a queueing model that addresses 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 understand the way the decentralized decision-making scheme is affected by various service environments.

作者: Tinglong Dai Katia Sycara Michael Lewis

作者单位: Institute,Carnegie Mellon University,Pittsburgh,PA,USA Information Science at School of Information Sciences,University of Pittsburgh,Pittsburgh,PA,USA

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

会议地点: 上海

会议语种:英文

页码: 58-63

在线出版日期: 2011-05-09（万方平台首次上网日期，不代表论文的发表时间）