Knowledge based error recovery in industrial robots
M. H. Lee, David Barnes, Nigel Hardy
- 发表年份
- 1983
- 引用次数
- 37
摘要
This paper describes the main aims of a new research project concerned with the implementation of automatic error recovery facilities in industrial robotics. An approach is discussed in which an existing manufacturing work cell is to be enhanced by the addition of a task event model contained in an error recovery knowledge base. This paper outlines the main design issues involved in this work. Reasons why conventional fault tolerance techniques are inadequate are given and the industrial application is explained. A particular approach to sensory monitoring and error diagnosis is described. The proposed system has more similarities with sensory driven expert systems than with body modelling contingency planners.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991