Learning controllers for industrial robots

Machine Learning

Volumn 23, Issue 2-3, 1996, Pages 221-249

  Baroglio, C ^a  

^a UNIVERSITY OF TURIN   (Italy)

Author keywords

Fuzzy Controllers; Multistrategy Learning; Neural Networks; Robotics

Indexed keywords

CONTROL SYSTEM SYNTHESIS; FUZZY CONTROL; INDUSTRIAL ROBOTS; INTELLIGENT CONTROL; LEARNING ALGORITHMS; LINEAR CONTROL SYSTEMS; NEURAL NETWORKS; ROBOTICS;

LEARNING CONTROLLER; MULTILAYER PERCEPTRONS; MULTISTRATEGY LEARNING; RADIAL BASIS FUNCTION NETWORKS;

LEARNING SYSTEMS;

EID: 0030146479     PISSN: 08856125     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF00117445     Document Type: Article

References (4)

1. Alpaydin, E. (1991). GAL: Networks that grow when they learn and shrink when they forget. Technical Report TR-91-032, International Computer Science Institute, Berkeley, USA.
2. Asada, H. (1990). Teaching and learning of compliance using neural nets: Representation and generation of nonlinear compliance. In Proceedings of the 1990 IEEE International Conference on Robotics and Automation, pages 1237-1244.
3. Barto, A., Sutton, R., & Watkins, C. (1990). Sequential decision problems and neural networks. In Advances in neural information processing system, volume 2. Morgan Kauffman, San mateo, Ca.
4. Barto, A. G., Sutton, R. S., & Anderson, C. W. (1983). Neuronlike elements that can solve difficult learning control problems. IEEE Transactions on Systems, Man and Cybernetics, pages 835-846.