77 search results - page 5 / 16 » Natural methods for robot task learning: instructive demonst... |
IJCAI
1989
13 years 8 months ago
1989
This paper describes an approach to robotic control that is patterned after models of human skill acquisition. The intent is to develop robots capable of learning how to accomplis...
IROS
2009
IEEE
14 years 2 months ago
2009
IEEE
—This study attempts to make a compact humanoid robot acquire a giant-swing motion without any robotic models by using reinforcement learning; only the interaction with environme...
UAI
2008
13 years 9 months ago
2008
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
ASWEC
2005
IEEE
14 years 1 months ago
2005
IEEE
Robots have diverse capabilities and complex interactions with their environment. Software development for robotic platforms is time consuming due to the complex nature of the tas...
MICCAI
2008
Springer
14 years 1 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. ...