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ICRA
2003
IEEE
147views Robotics» more  ICRA 2003»
15 years 11 months ago
A genetic algorithm for simultaneous localization and mapping
— This paper addresses the problem of simultaneous localization and mapping (SLAM) by a mobile robot. The SLAM problem is defined as a global optimization problem in which the o...
Tom Duckett
IJCAI
1993
15 years 7 months ago
Using Local Information in a Non-Local Way for Mapping Graph-Like Worlds
This paper describes a technique whereby an autonomous agent such as a mobile robot can explore an unknown environment and make a topologicalmapofit. It is assumedthat the environ...
Gregory Dudek, Paul Freedman, Souad Hadjres
ICRA
2008
IEEE
112views Robotics» more  ICRA 2008»
16 years 10 days 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
ICRA
2009
IEEE
122views Robotics» more  ICRA 2009»
15 years 3 months ago
Utilizing reflection properties of surfaces to improve mobile robot localization
Abstract-- A main difficulty that arises in the context of probabilistic localization is the design of an appropriate observation model, i.e., determining the likelihood of a senso...
Maren Bennewitz, Cyrill Stachniss, Sven Behnke, Wo...
ICRA
2008
IEEE
124views Robotics» more  ICRA 2008»
16 years 10 days ago
Simultaneous learning of motion and sensor model parameters for mobile robots
— Motion and sensor models are crucial components in current algorithms for mobile robot localization and mapping. These models are typically provided and hand-tuned by a human o...
Teddy N. Yap Jr., Christian R. Shelton