DocumentCode
702114
Title
Intelligent control techniques for humanoid robots
Author
Katic, Dusko ; Vukobratovic, Miomir
Author_Institution
Robotics Laboratory, Mihailo Pupin Institute P.O. Box 15, Volgina 15,11000 Belgrade, Yugoslavia
fYear
2003
fDate
1-4 Sept. 2003
Firstpage
1839
Lastpage
1844
Abstract
This paper focuses on the application of the intelligent control techniques (neural networks, fuzzy logic and genetic algorithms) and their hybrid methods (neuro-fuzzy networks, neuro-genetic and fuzzy-genetic algorithms) in the area of humanoid robotic systems. This paper represents an attempt to give a report of the basic principles and concepts of intelligent control in humanoid robotics, with an outline of a number of recent algorithms used in advanced control of humanoid robots.
Keywords
Genetic algorithms; Heuristic algorithms; Humanoid robots; Legged locomotion; Neural networks; Robot sensing systems; Fuzzy Logic; Genetic Algorithms; Humanoid Robots; Neural Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
European Control Conference (ECC), 2003
Conference_Location
Cambridge, UK
Print_ISBN
978-3-9524173-7-9
Type
conf
Filename
7085233
Link To Document