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» Learning Impedance Control for Robotic Manipulators
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KES
1998
Springer
13 years 11 months ago
Intelligent control with the growing competitive linear local mapping neural network for robotic hand-eye coordination
Several intelligent features are embedded in the Growing Competitive Linear Local Mapping Neural Network. They result in an adaptive, fast-learning, very efficient control scheme, ...
Andrei Cimponeriu, Hubert Kihl
PRESENCE
2000
145views more  PRESENCE 2000»
13 years 6 months ago
Control Design and Task Performance in Endoscopic Tele-Operation
Endoscopic surgery, while offering considerable gains for the patient, has created new difficulties for the surgeon. One problem is the fulcrum effect, which causes the movement o...
Ori Ben-Porat, Moshe Shoham, Joachim Meyer
AROBOTS
2002
115views more  AROBOTS 2002»
13 years 6 months ago
Statistical Learning for Humanoid Robots
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata...
AMS
2007
Springer
247views Robotics» more  AMS 2007»
14 years 27 days ago
Towards Machine Learning of Motor Skills
Autonomous robots that can adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. Early approaches to this goal du...
Jan Peters, Stefan Schaal, Bernhard Schölkopf
TSMC
2002
100views more  TSMC 2002»
13 years 6 months ago
Repetitive learning control: a Lyapunov-based approach
In this paper, a learning-based feedforward term is developed to solve a general control problem in the presence of unknown nonlinear dynamics with a known period. Since the learn...
Warren E. Dixon, Erkan Zergeroglu, Darren M. Dawso...