175 search results - page 7 / 35 » Learning humanoid reaching tasks in dynamic environments |
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract— Groups of reinforcement learning agents interacting in a common environment often fail to learn optimal behaviors. Poor performance is particularly common in environmen...
92
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ICRA
2009
IEEE
15 years 4 months ago
2009
IEEE
Abstract— In general, a mobile robot that operates in unknown environments has to maintain a map and has to determine its own location given the map. This introduces significant...
ICRA
2009
IEEE
15 years 4 months ago
2009
IEEE
Abstract— Research on humanoid robots for use in servicing tasks, e.g. fetching and delivery, attracts steadily more interest. With ”Rollin’ Justin” a mobile robotic system...
115
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ABIALS
2008
Springer
15 years 4 months ago
2008
Springer
Abstract. We present a model of motor learning based on a combination of Operational Space Control and Optimal Control. Anticipatory processes are used both in the learning of the ...
111
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CVPR
2012
IEEE
13 years 1 days ago
2012
IEEE
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...