150 search results - page 11 / 30 » Bayesian Landmark Learning for Mobile Robot Localization |
ICARCV
2006
IEEE
14 years 1 months ago
2006
IEEE
— In the simultaneous localization and mapping (SLAM) problem, a mobile robot must build a map of its environment while simultaneously determining its location within that map. W...
ETFA
2008
IEEE
14 years 2 months ago
2008
IEEE
This paper presents a localization system for mobile robots that are able to navigate autonomously in industrial environments like factory and exhibition halls. Previous approache...
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract— The future of robots, as our companions is dependent on their ability to understand, interpret and represent the environment in a human compatible manner. Towards this ...
AAAI
2000
13 years 9 months ago
2000
Monte Carlo localization (MCL) is a Bayesian algorithm for mobile robot localization based on particle filters, which has enjoyed great practical success. This paper points out a ...
IBPRIA
2005
Springer
14 years 1 months ago
2005
Springer
The ability of finding its situation in a given environment is crucial for an autonomous agent. While navigating through a space, a mobile robot must be capable of finding its lo...