ICRA 2011 Paper Abstract

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Paper TuA102.5

Dai, Tinglong (Carnegie Mellon University), Sycara, Katia (Carnegie Mellon University), Lewis, Michael (University of Pittsburgh)

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

Scheduled for presentation during the Regular Sessions "Agent-Based Systems I" (TuA102), Tuesday, May 10, 2011, 09:20−09:35, Room 3C

2011 IEEE International Conference on Robotics and Automation, May 9-13, 2011, Shanghai International Conference Center, Shanghai, China

This information is tentative and subject to change. Compiled on April 2, 2020

Keywords Planning, Scheduling and Coordination, Autonomous Agents, Agent-Based Systems

Abstract

This paper presents a queueing model that ad- dresses robot self-assessment in human-robot-interaction sys- tems. 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.

 

 

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