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Validating extended neglect tolerance model for human robot interactions in humanoid soccer robots

Published online by Cambridge University Press:  07 July 2010

R. E. Mohan,
W. S. Wijesoma,
C. A. A. Calderon and
C. J. Zhou
R. E. Mohan*
Affiliation:
Advanced Robotics and Intelligent Control Centre, Singapore Polytechnic, 500 Dover Road, SingaporeDivision of Control & Instrumentation, School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore. E-mail: eswwijesoma@ntu.edu.sg
W. S. Wijesoma
Affiliation:
Division of Control & Instrumentation, School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore. E-mail: eswwijesoma@ntu.edu.sg
C. A. A. Calderon
Affiliation:
Advanced Robotics and Intelligent Control Centre, Singapore Polytechnic, 500 Dover Road, Singapore
C. J. Zhou
Affiliation:
Advanced Robotics and Intelligent Control Centre, Singapore Polytechnic, 500 Dover Road, Singapore
*
*Corresponding author. E-mail: MohanRajesh@sp.edu.sg
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Summary

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Estimating robot performance in human robot teams is a vital problem in human robot interaction community. In a previous work, we presented extended neglect tolerance model for estimation of robot performance, where the human operator switches control between robots sequentially based on acceptable performance levels, taking into account any false alarms in human robot interactions. Task complexity is a key parameter that directly impacts the robot performance as well as the false alarms occurrences. In this paper, we validate the extended neglect tolerance model for two robot tasks of varying complexity levels. We also present the impact of task complexity on robot performance estimations and false alarms demands. Experiments were performed with real and virtual humanoid soccer robots across tele-operated and semi-autonomous modes of autonomy. Measured false alarm demand and robot performances were largely consistent with the extended neglect tolerance model predictions for both real and virtual robot experiments. Experiments also showed that the task complexity is directly proportional to false alarm demands and inversely proportional to robot performance.

Keywords

Human robot teamsRobot performanceTask complexityFalse alarm demandHumanoid soccer robotsAutonomy modes

Information

Type
Article
Information
Robotica , Volume 29 , Issue 3 , May 2011, pp. 421 - 432
Copyright
Copyright © Cambridge University Press 2010

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