878 search results - page 42 / 176 » Learning to Control in Operational Space |
143
Voted
MICCAI
2004
Springer
16 years 4 months ago
2004
Springer
We present a novel framework for learning a joint shape and appearance model from a large set of un-labelled training examples in arbitrary positions and orientations. The shape an...
129
Voted
ICRA
1998
IEEE
15 years 8 months ago
1998
IEEE
: Precise sensorimotor mappings between various motor, ensor, and abstract physical spaces are the basis for many robotics tasks. Their cheap construction is a challenge for adapti...
164
Voted
MP
2011
14 years 10 months ago
2011
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in machine learning, control theory, and discrete geometry. This c...
129
Voted
ICRA
2007
IEEE
15 years 10 months ago
2007
IEEE
— The control of humanoid manipulators is very challenging due to the large number of degrees of freedom and the resulting redundancy. Using joint-level control complex planning ...
125
Voted
SCIA
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. Since texture is scale dependent, multi-scale techniques are quite useful for texture classification. Scale-space theory introduces multi-scale differential operators. In...