Advanced Teleoperation (I) Control and Supervision in Computer Aided Teleoperation
In this paper is presented the architecture of a complete control system to be used in advanced teleoperation, based on two main hierarchical levels:
The first part describes the “generalized master/slave control” as a bidirectional process based both on aided effector control and on generalized force feedback. The coupling algorithms between master and slave take into account various functions: scaling of shifting in force or position, weight compensation, generation of artificial geometric constraints, sensor referenced loops, coordination with the motions of a carrier.
The second part presents an interactive “supervisory system” allowing dynamic selection of control modes which are at all times the most efficient for a given task. The previously defined elementary modes are classified as: manual, automatic coupling/recoupling, semi-automatic; these include many functions of parallel control sharing between the operator and the computer. The mode allocation is realized upon the basis of criteria developed from a general description of the task, from man-machine communications, and from external data.
The problem of off-line reconfiguration and , on-line mode activation are also considered.
KeywordsControl Mode Artificial Intelligence System Mode Allocation Slave Manipulator Intermediary Stage
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- R.P. Abelson and R.S. Schank, “Scripts, Plans, Goals and Understanding”, John Wiley and Sons, 1977.Google Scholar
- Guy Andre and Raymond Fournier, “Generalized end effector control in a Computer Aided Teleoperation System”, Proc. ICAR’85, Tokyo, Sept. 85, pp. 337–344.Google Scholar
- Patrice Autechaud, Philippe Desodt, Ahmed Habc111, Daniel Jolly and Pierre Vidal, “Hierarchical Control and Man Robot Stucture”, 3e Congresso Brasiliero de Automatica, Rio de Janeiro, Sept. 1980.Google Scholar
- A.K. Becjzy, G. Bekey and S. Lee, “Computer Control of Space-borne Teleoperator with Sensory Feedback”, IEEE Robotics, St L6uis, 1985.Google Scholar
- Constantino Diaz-Gonzalez et Bernard LEPERS, “Sécurité du Couplage Homme-Machine: l’apport des Méthodes d’Aggrégation de Préférences”, Congrès IFAC, Valenciennes, juin 1983.Google Scholar
- Tomomasa Sato and Shigeoki Hirai, “Language-Aided Robotic Teleoperation System (LARTS) for Advanced Teleoperation”, Proc. ICAR’85, Tokyo, Sept. 85, pp. 329–336.Google Scholar
- Annette Knaeu Per and William B. Rouse, “A Rule-based Model of Human Problem-solving Behavior in Dynamic Environments”, IEEE trans. on S.M.C., Vol. 15, N°6, Nov/Dec 1985.Google Scholar
- KOIIOUT, “Representation of Functional Hierarchies of Movement in the Brain”, Int. Journ. of M.M.S., 1976.Google Scholar
- Peter M. KOGGE, “An Architectural Trail to Threaded-Code Systems”, Computer, March 1982, pp. 22–32.Google Scholar
- Elisabeth D. Rather and Charles H. Moore, “The Forth Approach to Operating Systems”, Proc. ACM’76, Oct. 1976, pp. 233–240.Google Scholar
- G.N. Saridis, “Intelligent Robotic Control”, IEEE trans. on A.C., Vol. 28, N°5, May 1983.Google Scholar
- A.K. Bejczy, S. Lee, “Generalized Control of Robot Arms”, Joint Automatic Control Conference,San Diego, 84.Google Scholar