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» Bayesian Landmark Learning for Mobile Robot Localization
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ROBOCUP
2007
Springer
180views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
Improving Robot Self-localization Using Landmarks' Poses Tracking and Odometry Error Estimation
In this article the classical self-localization approach is improved by estimating, independently from the robot’s pose, the robot’s odometric error and the landmarks’ poses....
Pablo Guerrero, Javier Ruiz-del-Solar
AROBOTS
2006
97views more  AROBOTS 2006»
13 years 7 months ago
How a mobile robot selects landmarks to make a decision based on an information criterion
Most current mobile robots are designed to determine their actions according to their positions. Before making a decision, they need to localize themselves. Thus, their observation...
Noriaki Mitsunaga, Minoru Asada
AAAI
2000
13 years 9 months ago
Learning Landmarks for Robot Localization
Robert Sim, Gregory Dudek
ROBOCUP
2005
Springer
164views Robotics» more  ROBOCUP 2005»
14 years 1 months ago
Laser-Based Localization with Sparse Landmarks
Abstract. Self-localization in dynamic environments is a central problem in mobile robotics and is well studied in the literature. One of the most popular methods is the Monte Carl...
Andreas Strack, Alexander Ferrein, Gerhard Lakemey...
ICRA
2008
IEEE
112views Robotics» more  ICRA 2008»
14 years 2 months ago
Negative information and line observations for Monte Carlo localization
— Localization is a very important problem in robotics and is critical to many tasks performed on a mobile robot. In order to localize well in environments with few landmarks, a ...
Todd Hester, Peter Stone