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» Rapport-Expectation with a Robot Scale
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CEC
2009
IEEE
14 years 5 months ago
HyperNEAT controlled robots learn how to drive on roads in simulated environment
Abstract— In this paper we describe simulation of autonomous robots controlled by recurrent neural networks, which are evolved through indirect encoding using HyperNEAT algorithm...
Jan Drchal, Jan Koutník, Miroslav Snorek
IROS
2006
IEEE
113views Robotics» more  IROS 2006»
14 years 4 months 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
IJRR
2010
162views more  IJRR 2010»
13 years 9 months ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...
AMS
2007
Springer
247views Robotics» more  AMS 2007»
14 years 4 months 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
ICRA
1999
IEEE
102views Robotics» more  ICRA 1999»
14 years 2 months ago
Teleoperation with Adaptive Motion/Force Control
In this paper, an adaptive motion force control based approach is proposed to control bilateral teleoperation systems under both position and rate control with arbitrary motion fo...
Wen-Hong Zhu, S. E. Salcudean