6 search results - page 1 / 2 » Faster Motion Planning Using Learned Local Viability Models |
ICRA
2007
IEEE
13 years 11 months ago
2007
IEEE
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
IJCAI
1997
13 years 6 months ago
1997
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
ECAI
2006
Springer
13 years 8 months ago
2006
Springer
Robust execution of robotic tasks is a difficult problem. In many situations, these tasks involve complex behaviors combining different functionalities (e.g. perception, localizat...
MICCAI
2006
Springer
14 years 5 months ago
2006
Springer
Abstract. In this paper we present an accurate cardiac boundary tracking method for 2D tagged MRI time sequences. This method naturally integrates the motion and the static local a...