425 search results - page 42 / 85 » Using Stochastic Grammars to Learn Robotic Tasks |
IROS
2009
IEEE
15 years 8 months ago
2009
IEEE
— In mobile manipulation, the position to which the robot navigates has a large influence on the ease with which a subsequent manipulation action can be performed. Whether a man...
139
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NIPS
2008
15 years 2 months ago
2008
Motor primitives or motion templates have become an important concept for both modeling human motor control as well as generating robot behaviors using imitation learning. Recent ...
113
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KAIS
2006
15 years 1 months ago
2006
Abstract This paper describes a hybrid statistical and knowledge-based inforQ1 mation extraction model, able to extract entities and relations at the sentence level. The model atte...
109
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ICML
1998
IEEE
16 years 2 months ago
1998
IEEE
Stochastic topological models, and hidden Markov models in particular, are a useful tool for robotic navigation and planning. In previous work we have shown how weak odometric dat...
105
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ICRA
2009
IEEE
15 years 8 months ago
2009
IEEE
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...