Evaluation of Response Models to a Series of Commands in a Telerobotics Supervisory Control System

In contrast to direct manual control of manipulators, telerobotic interaction based on human supervisory control allows human operators to plan the movement of the remote machine by entering a series of commands as pre-defined positions. There are two possible kinds of response movements from executing this series of commands. Firstly, the robot moves towards the newly defined position immediately; or, secondly, the robot moves to achieve all the queued series of positions one by one. This paper describes an experiment to test the performance of the two kinds of response movements under varying visual feedback scenarios. By applying a mixed reality environment as the telerobotics interface, this experiment makes use of virtual objects to provide additional information for planning and monitoring the process. The highest productivity was achieved using a queue based model of interaction with additional visual cues. This was also compared to direct manual control and found to be considerably superior.

[1]  Terrence Fong,et al.  Active Interfaces for Vehicle Teleoperation , 2001 .

[2]  Qingping Lin,et al.  On Applying Virtual Reality to Underwater Robot Tele-Operation and Pilot Training , 2001, Int. J. Virtual Real..

[3]  F. E. Collis.  Telerobotics, Automation and Human Supervisory Control by Thomas B. Sheridan, The MIT Press, Cambridge, Massachusetts, 393 pages, incl. index £35.95) , 1993, Robotica.

[4]  T. Reichenbach,et al.  Supervisory control by using active virtual 3D models in-the-loop , 2006, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.

[5]  Tamás D. Gedeon,et al.  Comparison between two mixed reality environments as a teleoperation interface , 2011, 2011 IEEE International Conference on Robotics and Automation.

[6]  Terrence Fong,et al.  Novel interfaces for remote driving: gesture, haptic, and PDA , 2001, SPIE Optics East.

[7]  Lawrence W. Stark,et al.  A supervisory telerobotic control system using model-based vision feedback , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[8]  Thomas B. Sheridan,et al.  Telerobotics, Automation, and Human Supervisory Control , 2003 .

[9]  Lawrence W. Stark,et al.  Model-Based Supervisory Control in Telerobotics , 1996, Presence: Teleoperators & Virtual Environments.