2348 search results - page 1 / 470 » Stochastic Mapping Frameworks |
ICRA
2002
IEEE
13 years 9 months ago
2002
IEEE
— Stochastic mapping is an approach to the concurrent mapping and localization (CML) problem. The approach is powerful because feature and robot states are explicitly correlated....
AAAI
1992
13 years 6 months ago
1992
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...
BMCBI
2006
13 years 4 months ago
2006
Background: Character mapping on phylogenies has played an important, if not critical role, in our understanding of molecular, morphological, and behavioral evolution. Until very ...
JC
2010
13 years 3 months ago
2010
In this paper we de ne a new condition number adapted to directionally uniform perturbations in a general framework of maps between Riemannian manifolds. The de nitions and theorem...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
Stochastic games are a generalization of MDPs to multiple agents, and can be used as a framework for investigating multiagent learning. Hu and Wellman (1998) recently proposed a m...