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» Learning Impedance Control for Robotic Manipulators
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CEC
2007
IEEE
14 years 1 months ago
Evolving Quadruped Gaits with a Heterogeneous Modular Robotic System
Abstract— There has been much research into the development of robotic controllers in educational, industrial and government research labs, but limited hardware budgets constrain...
Matthew D. Handier, Gregory S. Hornby
IROS
2006
IEEE
113views Robotics» more  IROS 2006»
14 years 20 days ago
Policy Gradient Methods for Robotics
— The aquisition and improvement of motor skills and control policies for robotics from trial and error is of essential importance if robots should ever leave precisely pre-struc...
Jan Peters, Stefan Schaal
IJCAI
1989
13 years 7 months ago
Integrating Knowledge-Based System and Neural Network Techniques for Robotic Skill Acquisition
This paper describes an approach to robotic control that is patterned after models of human skill acquisition. The intent is to develop robots capable of learning how to accomplis...
David Handelman, Stephen Lane, Jack Gelfand
AR
2011
13 years 1 months ago
Imitation Learning of Positional and Force Skills Demonstrated via Kinesthetic Teaching and Haptic Input
A method to learn and reproduce robot force interactions in a Human-Robot Interaction setting is proposed. The method allows a robotic manipulator to learn to perform tasks which ...
Petar Kormushev, Sylvain Calinon, Darwin G. Caldwe...
ESANN
2001
13 years 8 months ago
A divide-and-conquer learning architecture for predicting unknown motion
Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
Patrice Wira, Jean-Philippe Urban, Julien Gresser