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Supervised Autonomy: A Framework for Human-Robot Systems Development

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Abstract

In this paper we present a paradigm for robot control, Supervised Autonomy. Supervised Autonomy is a framework, which facilitates the development of human robot systems. The components which this framework embraces has been devised in a human-oriented manner, to augment users in accomplishing their task. The general concept of our paradigm is to incorporate supervisory control with a qualitative approach for the control of robots. Supervisory control does not rely on human users to perform all the basic functions of perception and action in a system. The approach we have taken shifts all basic autonomous functions to the physical robot agent, integrated with a set of qualitative instructions, in combination with a simple graphical user interface, and together with suitable feedback form the complete framework. Experimental results of applying this framework to the use of a mobile robot teleoperation system are presented. The system we have developed make extensive use of behavior-based control technology, embracing a number of real-time visual behaviours, together with a set of intuitive instructions designed for the navigation of a mobile robot.

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References

  • Apostolopoulos, D. and Bares, J. 1995. Configuration of a robust rappelling robot. In Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems.

  • Arkin, R.C. and Ali, K.S. 1994. Integration of reactive and telerobotic control in multi-agent robotics systems. In Proceedings of the Third International Conference on Simulation of Adaptive Behavior (SAB94) [From Animals to Animats]. Brighton, UK, pp. 473–478.

  • Cheng, G. and Zelinsky, A. 1996. Real-time visual behaviours for navigating a mobile robot. In Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 973–980.

  • Cheng, G. and Zelinsky, A. 1998a. Goal-oriented behaviour-based visual navigation. In Proceedings of IEEE International Conference on Robotics and Automation, Leuven, Belgium, pp. 3431–3436.

  • Cheng, G. and Zelinsky, A. 1998b. Real-Time Vision Processing for a Soccer Playing Mobile Robot, pp. 135–146. Vol. 1 of (Kitano, 1998). Extended version of IJCAI'97 Workshop paper.

  • Corliss, W.R. 1972. Teleoperators: Man's Machine Partners, United States Atomic Energy Commission, Office of Information Services.

  • Horswill, I. 1994. Visual collision avoidance by segmentation. In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, Munich, Germany, pp. 902–909.

  • Iida, S. and Yuta, S. 1991. Vehicle command system and trajectory control for autonomous mobile robots. In Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems, Osaka, Japan, pp. 212–217.

  • Inoue, H., Inaba, M., Mori, T., and Tachikawa, T. 1993. Real-time robot vision system based on correlation technology. In Proceedings of International Symposium on Industrial Robots (ISIR), pp. 675–680.

  • Inoue, H., Tachikawa, T., and Inaba, M. 1992. Robot vision system with a correlation chip for real-time tracking, optical flow and depth map generation. In Proceedings of IEEE International Conference on Robotics and Automation, pp. 1621–1626.

  • Jung, D., Cheng, G., and Zelinsky, A. 1997. Robot cleaning: An application of distributed planning and real-time vision. In Proceedings of International Conference on Field and Service Robotics (FSR'97), Canberra, Australia, pp. 200–207.

  • Jung, D. and Stanley, B. 1995–1997. Yamabico autonomous mobile robots-Reference manual. Technical Report 1.5, Department of Computer Science, University of Wollongong.

  • Kitano, H. (Ed.). 1998. RoboCup-97: The First Robot World Cup Soccer Games and Conferences, Vol. 1, Springer-Verlag: Berlin.

    Google Scholar 

  • Scott, P.B. 1984. The Robotics Revolution, Basil Blackwell: Oxford.

    Google Scholar 

  • Sekimoto, T., Tsubouchi, T., and Yuta, S. 1996. An implementation of a human interface using a touch panel and visual images for controlling a vehicle. In Proceedings IEEE International Workshop on Robot and Human Communication. Tsukuba, Japan.

  • Sheridan, T.B. 1992. Teleorobotics, Automation, and Human Supervisory Control, 0–262–19316–7, MIT Press: Cambridge, MA.

    Google Scholar 

  • Shibata, T., Inaba, M., and Inoue, H. 1994. Instruction use by a vision-based mobile robot. In Proceedings of Workshop of Integration of natural Language Processing and Vision Processing, pp. 115–121.

  • Volpe, R., Balaram, J., Ohm, T., and Ivlev, R. 1996. The Rocky 7 Mars Rover prototype. In IEEE/RSJ International Conference on Intelligent Robots and Systems, Osaka, Japan, pp. 1558–1564.

  • Wettergreen, D., Pangels, H., and Bares, J. 1995. Behaviour-based gait execution for the Dante IIwalking robot. In IEEE/RSJ International Conference on Intelligent Robots and Systems, Pittsburgh.

  • Yuta, S., Suzuki, S., and Iida, S. 1991. Implementation of a small size experimental self-contained autonomous robot. In Proceedings of the 2nd Int. Symposium on Experimental Robotics, Toulouse, France, pp. 902–909.

  • Zelinsky, A. and Kuniyoshi, Y. 1996. Learning to coordinate behaviours in mobile robots. Advanced Robotics 10(2): 143–159.

    Google Scholar 

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Cheng, G., Zelinsky, A. Supervised Autonomy: A Framework for Human-Robot Systems Development. Autonomous Robots 10, 251–266 (2001). https://doi.org/10.1023/A:1011231725361

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