DocumentCode :
3614015
Title :
Intelligent soft-computing paradigms for humanoid robots
Author :
D. Katic;M. Vukobratovic
Author_Institution :
Robotics Lab., Mihajlo Pupin Inst., Belgrade, Serbia
Volume :
3
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
2533
Abstract :
This paper focuses on the application of the intelligent control techniques (neural networks, fuzzy logic and genetic algorithms) anti 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 :
"Intelligent robots","Humanoid robots","Robot sensing systems","Robot control","Intelligent sensors","Humans","Legged locomotion","Neural networks","Fuzzy logic","Genetic algorithms"
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2002. IEEE/RSJ International Conference on
Print_ISBN :
0-7803-7398-7
Type :
conf
DOI :
10.1109/IRDS.2002.1041650
Filename :
1041650
Link To Document :
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