Analysis of a Probabilistic Framework for an Intelligent Workcell
This paper describes work done at Hull towards answers to the question, “what sensing actions should be taken, by what sensors, when, and how should the information be acted upon”?, raised in the development of an intelligent workcell. The work provides an analysis of the probabilistic dynamic error vector framework described in . A ply separation and motif application task is then used to illustrate the operation of the framework.
KeywordsError Effect Error Recovery Assembly Task Good Guess Forward Calculation
Unable to display preview. Download preview PDF.
- Taylor, G.E., Taylor, P.M., “Dynamic error probability vectors: a framework for sensory decision making.”IEEE Proceedings of Int. Conf. on Robotics and Automation, Philadelphia. 1985. pp 1096–1100.Google Scholar
- Taylor, P.M ., “Multisensory assembly and error recovery.” (Proceedings of a NATO Advanced Reserach Workshop, Castleveccio di Pascoli, October 1987), inKinematic and dynamic issues in sensor based control. Edited by G.E. Taylor. Springer Verlag. To be published 1990.Google Scholar
- Cheeseman, P ., “In defense of probability.”Procs. 9th Int. Joint Conf. on A.I. 1985, Los Altos Calif. Kauffman. pp 1002 -1009.Google Scholar
- Monkman, G.J., Taylor, G.E., Taylor, P.M., “Flowgraph techniques in workcell assessment and design”. IEEE International Symposium on Intelligent Control, Albany, New York. September 1989. pp 28–32.Google Scholar