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ENGL
2008
139views more  ENGL 2008»
13 years 4 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
TSMC
2002
129views more  TSMC 2002»
13 years 4 months ago
A distributed robotic control system based on a temporal self-organizing neural network
A distributed robot control system is proposed based on a temporal self-organizing neural network, called competitive and temporal Hebbian (CTH) network. The CTH network can learn ...
Guilherme De A. Barreto, Aluizio F. R. Araú...
ESANN
2004
13 years 6 months ago
A sliding mode controller using neural networks for robot manipulator
Abstract. This paper proposes a new sliding mode controller using neural networks. Multilayer neural networks with the error back-propagation learning algorithm are used to compens...
Hajoon Lee, Dongkyung Nam, Cheol Hoon Park
IROS
2008
IEEE
120views Robotics» more  IROS 2008»
13 years 11 months ago
Soft motion trajectory planner for service manipulator robot
Abstract— Human interaction introduces two main constraints: Safety and Comfort. Therefore service robot manipulator can’t be controlled like industrial robotic manipulator whe...
Xavier Broquère, Daniel Sidobre, Ignacio He...
ICRA
1995
IEEE
151views Robotics» more  ICRA 1995»
13 years 8 months ago
Learning Impedance Control for Robotic Manipulators
—Learning control is a concept for controlling dynamic systems in an iterative manner. It arises from the recognition that robotic manipulators are usually used to perform repeti...
Chien-Chern Cheah, Danwei Wang