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ICRA
2002
IEEE
126views Robotics» more  ICRA 2002»
13 years 10 months ago
Uniform Monte Carlo Localization - Fast and Robust Self-Localization Method for Mobile Robots
In this paper, we describe a novel self-localizationalgorithm. Self-Localizationmethods are required for to lowercomputational costand handling vague sensordata. Thus, we propose ...
Ryuichi Ueda, Takeshi Fukase, Yuichi Kobayashi, Ta...
CORR
2002
Springer
113views Education» more  CORR 2002»
13 years 5 months ago
Robust Global Localization Using Clustered Particle Filtering
Global mobile robot localization is the problem of determining a robot's pose in an environment, using sensor data, when the starting position is unknown. A family of probabi...
Javier Nicolás Sánchez, Adam Milstei...
IBERAMIA
2004
Springer
13 years 11 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
ICRA
2010
IEEE
138views Robotics» more  ICRA 2010»
13 years 4 months ago
Rao-Blackwellized particle filtering for probing-based 6-DOF localization in robotic assembly
This paper presents a probing-based method for probabilistic localization in automated robotic assembly. We consider peg-in-hole problems in which a needle-like peg has a single p...
Yuichi Taguchi, Tim K. Marks, Haruhisa Okuda
JFR
2008
103views more  JFR 2008»
13 years 5 months ago
Monte Carlo localization in outdoor terrains using multilevel surface maps
We propose a novel combination of techniques for robustly estimating the position of a mobile robot in outdoor environments using range data. Our approach applies a particle filte...
Rainer Kümmerle, Rudolph Triebel, Patrick Pfa...