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IJCNN
2008
IEEE
14 years 3 months ago
Evolving a neural network using dyadic connections
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
Andreas Huemer, Mario A. Góngora, David A. ...
WCE
2007
13 years 9 months ago
Neural Network Global Sliding Mode PID Control for Robot Manipulators
—This paper presents a neural network global PID-sliding mode control method for the tracking control of robot manipulators with bounded uncertainties. A certain sliding mode con...
T. C. Kuo, Y. J. Huang
ENGL
2008
139views more  ENGL 2008»
13 years 8 months ago
Global Stabilization of Robot Control with Neural Network and Sliding Mode
This paper presents a neural network global PID-sliding mode control method for the tracking control of robot manipulators with bounded uncertainties. A certain sliding mode contro...
T. C. Kuo, Y. J. Huang
SUTC
2008
IEEE
14 years 3 months ago
An Embedded Computing Platform for Robot
As the robotic industry is growing boomingly, the functionalities and system's architecture of robots are more and more complex. The development of robotic application system...
Ching-Han Chen, Sz-Ting Liou
FLAIRS
2003
13 years 10 months ago
Advantages of Brahms for Specifying and Implementing a Multiagent Human-Robotic Exploration System
We have developed a model-based, distributed architecture that integrates diverse components in a system designed for lunar and planetary surface operations: an astronaut’s spac...
William J. Clancey, Maarten Sierhuis, Charis Kaski...