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» Learning Impedance Control for Robotic Manipulators
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ICARCV
2006
IEEE
100views Robotics» more  ICARCV 2006»
14 years 23 days ago
Decentralized Reinforcement Learning Control of a Robotic Manipulator
— Multi-agent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, etc. Learning approaches to multi-ag...
Lucian Busoniu, Bart De Schutter, Robert Babuska
ICRA
2008
IEEE
129views Robotics» more  ICRA 2008»
14 years 1 months ago
Compliant manipulation for peg-in-hole: Is passive compliance a key to learn contact motion?
— We examine the usefulness of passive compliance in a manipulator that learns contact motion. Based on the notice that humans outperforms robots with the contact motion, we foll...
Seung-kook Yun
ICRA
2008
IEEE
128views Robotics» more  ICRA 2008»
14 years 1 months ago
Intrinsically motivated hierarchical manipulation
— We present a framework for the programming of manipulation behavior by means of an intrinsic reward function that encourages the building of deep control knowledge. We show how...
Stephen Hart, Shijaj Sen, Roderic A. Grupen
ICRA
2000
IEEE
85views Robotics» more  ICRA 2000»
13 years 11 months 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
ENGL
2006
73views more  ENGL 2006»
13 years 6 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...