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» Learning Impedance Control for Robotic Manipulators
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AI50
2006
13 years 9 months ago
Intrinsically Motivated Machines
Abstract. Children seem intrinsically motivated to manipulate, to explore, to test, to learn and they look for activities and situations that provide such learning opportunities. I...
Frédéric Kaplan, Pierre-Yves Oudeyer
IROS
2006
IEEE
233views Robotics» more  IROS 2006»
13 years 11 months ago
Machine-mediated Motor Skill Training Method in Haptic-enabled Chinese Handwriting Simulation System
Training of motor skill through machine-mediated method is a promising way to improve complex dexterous manipulation skill. New method of fusion between human motor skill and machi...
Dangxiao Wang, Yuru Zhang, Chong Yao
ICRA
2002
IEEE
148views Robotics» more  ICRA 2002»
13 years 10 months ago
A Neural Approach to Adaptive Behavior and Multi-Sensor Action Selection in a Mobile Device
Sampling multisensory information and taking the appropriate motor action is critical for a biological organism’s survival, but a difficult task for robots. We present a Neurally...
Jeffrey L. Krichmar, James A. Snook
NIPS
1993
13 years 6 months ago
Surface Learning with Applications to Lipreading
Most connectionist research has focused on learning mappings from one space to another (eg. classification and regression). This paper introduces the more general task of learnin...
Christoph Bregler, Stephen M. Omohundro
CEC
2009
IEEE
13 years 9 months ago
Automatic system identification based on coevolution of models and tests
In evolutionary robotics, controllers are often designed in simulation, then transferred onto the real system. Nevertheless, when no accurate model is available, controller transfe...
Sylvain Koos, Jean-Baptiste Mouret, Stéphan...