2082 search results - page 177 / 417 » Using model knowledge for learning inverse dynamics |
111
Voted
IROS
2009
IEEE
15 years 10 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...
135
Voted
JMLR
2010
14 years 10 months ago
2010
In general, imitation is imprecisely used to address different levels of social learning from high level knowledge transfer to low level regeneration of motor commands. However, t...
139
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...
172
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IJCV
2010
15 years 2 months ago
2010
Abstract Image alignment has been a long standing problem in computer vision. Parameterized Appearance Models (PAMs) such as the Lucas-Kanade method, Eigentracking, and Active Appe...
136
Voted
ICRA
1995
IEEE
15 years 7 months ago
1995
IEEE
—Learning control is a concept for controlling dynamic systems in an iterative manner. It arises from the recognition that robotic manipulators are usually used to perform repeti...