8 search results - page 1 / 2 » Learning Topological Maps with Weak Local Odometric Informat... |
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 ...
AAAI
2004
13 years 6 months ago
2004
This paper deals with automatically learning the spatial distribution of a set of images. That is, given a sequence of images acquired from well-separated locations, how can they ...
ICML
1998
IEEE
14 years 5 months ago
1998
IEEE
Stochastic topological models, and hidden Markov models in particular, are a useful tool for robotic navigation and planning. In previous work we have shown how weak odometric dat...
WEBI
2007
Springer
13 years 10 months ago
2007
Springer
— Many information retrieval and machine learning methods have not evolved in order to be applied to the Web. Two main problems in applying some machine learning techniques for W...
AROBOTS
2002
13 years 4 months ago
2002
In robotics, the idea of human and robot interaction is receiving a lot of attention lately. In this paper, we describe a multi-modal system for generating a map of the environment...