1270 search results - page 208 / 254 » Dogged Learning for Robots |
106
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AROBOTS
2011
14 years 4 months ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
112
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MICCAI
2008
Springer
15 years 4 months ago
2008
Springer
Accurate estimation and tracking of dynamic tissue deformation is important to motion compensation, intra-operative surgical guidance and navigation in minimally invasive surgery. ...
NIPS
2003
14 years 11 months ago
2003
Recent research has demonstrated that useful POMDP solutions do not require consideration of the entire belief space. We extend this idea with the notion of temporal abstraction. ...
AROBOTS
1998
14 years 9 months ago
1998
In this article we show how an active stereo camera head can be made to autonomously learn to fixate objects in space. During fixation, the system performs an initial and a corre...
ICML
1998
IEEE
15 years 10 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...