Title :
Survey of Connectionist Control Algorithms for Humanoid Robots
Author :
D.M. Katic;M.K. Vukobratovic
Author_Institution :
Senior Member, IEEE., Robotics Laboratorv, Mihailo Pupin Institute, Volgina 15, 11060 Belgrade, Serbia &
fDate :
6/27/1905 12:00:00 AM
Abstract :
This paper focuses on the application of connectionist (neural networks) control techniques and their hybrid forms (neuro-fuzzy networks and neuro-genetic algorithms) in the area of humanoid robotic systems. It represents an attempt to cover the basic principles and concepts of connectionist learning control in humanoid robotics, with an outline of a number of algorithms used in advanced control of humanoid robots
Keywords :
"Humanoid robots","Legged locomotion","Control systems","Intelligent robots","Neural networks","Robot sensing systems","Robot control","Intelligent control","Humans","Medical robotics"
Conference_Titel :
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Print_ISBN :
1-4244-0049-X
DOI :
10.1109/EURCON.2005.1629923
