1270 search results - page 117 / 254 » Dogged Learning for Robots |
ICRA
2010
IEEE
13 years 8 months ago
2010
IEEE
Abstract— We consider the problem of apprenticeship learning when the expert’s demonstration covers only a small part of a large state space. Inverse Reinforcement Learning (IR...
RAS
2010
13 years 8 months ago
2010
We present a novel approach to estimating depth from single omnidirectional camera images by learning the relationship between visual features and range measurements available dur...
ICCBR
2005
Springer
14 years 3 months ago
2005
Springer
CBR is one of the techniques that can be applied to the task of approximating a function over high-dimensional, continuous spaces. In Reinforcement Learning systems a learning agen...
ICRA
2009
IEEE
14 years 4 months ago
2009
IEEE
² Similar to humans and primates, artificial creatures like robots are limited in terms of allocation of their resources to huge sensory and perceptual information. Serial process...
ROBIO
2006
IEEE
14 years 4 months ago
2006
IEEE
— Humanoid robots are highly redundant systems with respect to the tasks they are asked to perform. This redundancy manifests itself in the number of degrees of freedom of the ro...