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» Learning for control from multiple demonstrations
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IJHR
2008
119views more  IJHR 2008»
14 years 9 months ago
Imitation Learning of Dual-Arm Manipulation Tasks in Humanoid Robots
In this paper, we deal with imitation learning of arm movements in humanoid robots. Hidden Markov Models (HMM) are used to generalize movements demonstrated to a robot multiple tim...
Tamim Asfour, Pedram Azad, Florian Gyarfas, Rü...
84
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HICSS
2003
IEEE
174views Biometrics» more  HICSS 2003»
15 years 3 months ago
Linking Perception and Action in a Control Architecture for Human-Robot Domains
Human-robot interaction is a growing research domain; there are many approaches to robot design, depending on the particular aspects of interaction being focused on. In this paper...
Monica N. Nicolescu, Maja J. Mataric
AROBOTS
2002
115views more  AROBOTS 2002»
14 years 9 months ago
Statistical Learning for Humanoid Robots
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata...
IJRR
2008
139views more  IJRR 2008»
14 years 9 months ago
Learning to Control in Operational Space
One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
Jan Peters, Stefan Schaal
ML
1998
ACM
131views Machine Learning» more  ML 1998»
14 years 9 months ago
Learning from Examples and Membership Queries with Structured Determinations
It is well known that prior knowledge or bias can speed up learning, at least in theory. It has proved di cult to make constructive use of prior knowledge, so that approximately c...
Prasad Tadepalli, Stuart J. Russell