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ICRA
2000
IEEE
85views Robotics» more  ICRA 2000»
14 years 6 days ago
Neural Network Controller for Constrained Robot Manipulators
In this paper, a neural network controller for constrained robot manipulators is presented. A feedforward neural network is used to adaptively compensate for the uncertainties in ...
Shenghai Hu, Marcelo H. Ang, Hariharan Krishnan
KBS
2006
105views more  KBS 2006»
13 years 7 months ago
Robot docking based on omnidirectional vision and reinforcement learning
We present a system for visual robotic docking using an omnidirectional camera coupled with the actor critic reinforcement learning algorithm. The system enables a PeopleBot robot...
David Muse, Cornelius Weber, Stefan Wermter
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 6 months ago
Reinforcement learning of motor skills in high dimensions: A path integral approach
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
ENGL
2006
73views more  ENGL 2006»
13 years 7 months ago
Learning of Object Identification by Robots Controlled by Natural Language
Natural language communication is very important in Human-Robot cooperative work. This paper presents an object sorting robotic system which is controlled by natural language comm...
Chandimal Jayawardena, Keigo Watanabe, Kiyotaka Iz...
ESANN
2004
13 years 9 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