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JAIR
2002
120views more  JAIR 2002»
13 years 7 months ago
Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
Hagit Shatkay, Leslie Pack Kaelbling
ICRA
2005
IEEE
141views Robotics» more  ICRA 2005»
14 years 1 months ago
Interactive SLAM using Laser and Advanced Sonar
Abstract— This paper presents a novel approach to mapping for mobile robots that exploits user interaction to semiautonomously create a labelled map of the environment. The robot...
Albert Diosi, Geoffrey Taylor, Lindsay Kleeman
ICARCV
2008
IEEE
154views Robotics» more  ICARCV 2008»
14 years 2 months ago
Detecting spurious features using parity space
—Detection of spurious features is instrumental in many computer vision applications. The standard approach is feature based, where extracted features are matched between the ima...
David Törnqvist, Thomas B. Schön, Fredri...
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 6 months ago
A general Gaussian-mixture approach for range-only mapping using multiple hypotheses
— Radio signal-based localization and mapping is becoming more interesting as applications involving the collaboration between robots and static wireless devices are more common....
Fernando Caballero, Luis Merino, Aníbal Oll...
IBERAMIA
2004
Springer
14 years 1 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