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IBERAMIA
2004
Springer
14 years 2 months ago
Statistical Inference in Mapping and Localization for Mobile Robots
In this paper we tackle the problem of providing a mobile robot with the ability to build a map of its environment using data gathered during navigation. The data correspond to the...
Anita Araneda, Alvaro Soto
ISRR
2005
Springer
154views Robotics» more  ISRR 2005»
14 years 2 months ago
Session Overview Planning
ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
Nicholas Roy, Roland Siegwart
ICPR
2008
IEEE
14 years 3 months ago
On the scalability of robot localization using high-dimensional features
This study provides an investigation of scalability of mobile robot localization. In recent years, inference algorithms based on map-matching have proved their superior performanc...
Takeshi Ueda, Kanji Tanaka
AAAI
1998
13 years 10 months ago
Integrating Topological and Metric Maps for Mobile Robot Navigation: A Statistical Approach
The problem of concurrent mapping and localization has received considerable attention in the mobile robotics community. Existing approachescan largely be grouped into two distinc...
Sebastian Thrun, Jens-Steffen Gutmann, Dieter Fox,...
ICRA
2002
IEEE
183views Robotics» more  ICRA 2002»
14 years 2 months ago
Mobile Robot Localization Based on Random Closed Set Model Maps
In this paper we present a novel approach to mobile robot navigation in natural unstructured environments. Natural scenes can be considered as random fields where a large number ...
Stefan Rolfes, Maria-João Rendas