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ICRA
2000
IEEE
145views Robotics» more  ICRA 2000»
13 years 11 months ago
Feature Based Condensation for Mobile Robot Localization
Much attention has been given to CONDENSATION methods for mobile robot localization. This has resulted in somewhat of a breakthrough in representing uncertainty for mobile robots....
Patric Jensfelt, David J. Austin, Olle Wijk, Magnu...
ICRA
1999
IEEE
109views Robotics» more  ICRA 1999»
13 years 11 months ago
Unifying Exploration, Localization, Navigation, and Planning Through a Common Representation
The major themes of our research include the creation of mobile robot systems that are robust and adaptive in rapidly changing environments and the view of integration as a basic ...
Alan C. Schultz, William Adams, Brian Yamauchi, Mi...
IROS
2008
IEEE
167views Robotics» more  IROS 2008»
14 years 1 months ago
Multi-robot complete exploration using hill climbing and topological recovery
— This article addresses the problem of autonomous map building and exploration of an unknown environment with mobile robots. The proposed method assumes that mobile robots use o...
Rui Rocha, João Filipe Ferreira, Jorge Dias
ICRA
1999
IEEE
126views Robotics» more  ICRA 1999»
13 years 11 months ago
Monte Carlo Localization for Mobile Robots
Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilisticlocalization algorithms known as Monte...
Frank Dellaert, Dieter Fox, Wolfram Burgard, Sebas...
ICRA
2002
IEEE
183views Robotics» more  ICRA 2002»
14 years 10 days 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