Title :
Reliability analysis in intelligent machines
Author :
McInroy, John E. ; Saridis, George N.
Author_Institution :
NASA CIRSSE, Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
By using concepts from information theory and reliability theory, new techniques are proposed for finding the reliability corresponding to alternative subsets of control and sensing strategies such that a desired set of specifications can be satisfied. The analysis is straightforward provided that a set of Gaussian random state variables is available. An example problem illustrates the technique and provides general reliability results for visual serving with a computed torque control algorithm
Keywords :
artificial intelligence; information theory; reliability theory; robots; Gaussian random state variables; artificial intelligence; information theory; intelligent machines; reliability theory; robots; Humans; Information theory; Intelligent control; Machine intelligence; NASA; Performance analysis; Reliability theory; Robot kinematics; Robot sensing systems; Teleoperators;
Conference_Titel :
Robotics and Automation, 1990. Proceedings., 1990 IEEE International Conference on
Conference_Location :
Cincinnati, OH
Print_ISBN :
0-8186-9061-5
DOI :
10.1109/ROBOT.1990.126199
