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» Monte Carlo Localization for Mobile Robots
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ICRA
2003
IEEE
158views Robotics» more  ICRA 2003»
15 years 2 months ago
Probabilistic cooperative localization and mapping in practice
In this paper we present a probabilistic framework for the reduction in the uncertainty of a moving robot pose during exploration by using a second robot to assist. A Monte Carlo ...
Ioannis M. Rekleitis, Gregory Dudek, Evangelos E. ...
79
Voted
AAAI
2011
13 years 9 months ago
Multi-Observation Sensor Resetting Localization with Ambiguous Landmarks
Successful approaches to the robot localization problem include Monte Carlo particle filters, which estimate non-parametric localization belief distributions. However, particle ...
Brian Coltin, Manuela M. Veloso
DCOSS
2011
Springer
13 years 9 months ago
A distributed information fusion method for localization based on Pareto optimization
—To overcome the limitations of specific positioning techniques for mobile wireless nodes and achieve a high accuracy, the fusion of heterogeneous sensor information is an appea...
Alessio De Angelis, Carlo Fischione
63
Voted
ICRA
2007
IEEE
139views Robotics» more  ICRA 2007»
15 years 3 months ago
Evaluating the Roomba: A low-cost, ubiquitous platform for robotics research and education
— This paper presents the iRobot corporation’s Roomba vacuum as a low-cost resource for robotics research and education. Sensor and actuation models for unmodified Roombas are...
Ben Tribelhorn, Zachary Dodds
77
Voted
IROS
2007
IEEE
90views Robotics» more  IROS 2007»
15 years 3 months ago
Improved likelihood models for probabilistic localization based on range scans
— Range sensors are popular for localization since they directly measure the geometry of the local environment. Another distinct benefit is their typically high accuracy and spa...
Patrick Pfaff, Christian Plagemann, Wolfram Burgar...