Using a self-confidence measure for a system-initiated switch between autonomy modes

This paper presents preliminary results of the ongoing project RIMRES – Reconfigurable Integrated MultiRobot Exploration System 1 . The paper outlines the concept of a novel approach for realising sliding autonomy with a mixed team of humans and robots. In order to increase the overall team efficiency, a formalised trust based relationship between operator and system is suggested, allowing a robotic system to use a self-confidence measure to actively control its autonomy mode. This paper provides a survey on the current state of the art in the relevant field and gives an outline of the developed concept and its motivation. To support the understanding of the concept initial experimental results are presented, followed by a discussion of the concept.

[1]  Milind Tambe,et al.  Multiagent Adjustable Autonomy Framework (MAAF) for multi-robot, multi-human teams , 2008, 2008 International Symposium on Collaborative Technologies and Systems.

[2]  Debra Schreckenghost,et al.  Adjustable Autonomy for Human-Centered Autonomous Systems , 1999 .

[3]  Reid G. Simmons,et al.  Coordinated Multiagent Teams and Sliding Autonomy for Large-Scale Assembly , 2006, Proceedings of the IEEE.

[4]  Tara Estlin,et al.  Autonomous Science Technologies for a Mars Rover , 2009 .

[5]  Ewart de Visser,et al.  Measurement of trust in human-robot collaboration , 2007, 2007 International Symposium on Collaborative Technologies and Systems.

[6]  John D. Lee,et al.  Trust in Automation: Designing for Appropriate Reliance , 2004 .

[7]  Christopher D. Wickens,et al.  A model for types and levels of human interaction with automation , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[8]  M. Lehtonen,et al.  Challenges in implementation of human-automation interaction models , 2007, 2007 Mediterranean Conference on Control & Automation.

[9]  N Moray,et al.  Trust, control strategies and allocation of function in human-machine systems. , 1992, Ergonomics.

[10]  H. Lesani,et al.  A Framework for Implementation of Adaptive Autonomy for Intelligent Electronic Devices , 2008 .

[11]  Holly A. Yanco,et al.  Autonomy mode suggestions for improving human-robot interaction , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[12]  Bojan Jakimovski,et al.  Artificial Immune System Based Robot Anomaly Detection Engine for Fault Tolerant Robots , 2008, ATC.

[13]  Frederik W. Heger,et al.  Sliding Autonomy for Complex Coordinated Multi-Robot Tasks: Analysis & Experiments , 2006, Robotics: Science and Systems.

[14]  Thomas B. Sheridan,et al.  Human and Computer Control of Undersea Teleoperators , 1978 .

[15]  E. Sholes,et al.  Evolution of a UAV Autonomy Classification Taxonomy , 2007, 2007 IEEE Aerospace Conference.

[16]  Stephen Whitlow,et al.  Providing appropriate situation awareness within a mixed-initiative control system , 2002, IEEE International Conference on Systems, Man and Cybernetics.

[17]  Alexei Makarenko,et al.  Measuring human-robot team effectiveness to determine an appropriate autonomy level , 2008, 2008 IEEE International Conference on Robotics and Automation.

[18]  Marcus J. Huber.  Agent Autonomy: Social Integrity and Social Independence , 2007, Fourth International Conference on Information Technology (ITNG'07).

[19]  K. Blomqvist.  The many faces of trust , 1997 .

[20]  Raja Parasuraman,et al.  TECRA: C2 application of adaptive automation theory , 2010, 2010 IEEE Aerospace Conference.

[21]  Raja Parasuraman,et al.  Designing an Adaptive Automation System for Human Supervision of Unmanned Vehicles: A Bridge from Theory to Practice , 2008 .