30 search results - page 6 / 6 » Probabilistic Inference for Fast Learning in Control |
102
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RAS
2010
14 years 10 months ago
2010
This article investigates fundamental issues in scaling autonomous personal robots towards open-ended sets of everyday manipulation tasks which involve high complexity and vague j...
PAMI
2010
14 years 10 months ago
2010
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
107
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NIPS
2004
15 years 29 days ago
2004
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
112
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NIPS
2008
15 years 1 months ago
2008
Research in animal learning and behavioral neuroscience has distinguished between two forms of action control: a habit-based form, which relies on stored action values, and a goal...
ICRA
2008
IEEE
15 years 6 months ago
2008
IEEE
— Local linearizations are ubiquitous in the control of robotic systems. Analytical methods, if available, can be used to obtain the linearization, but in complex robotics system...