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ICRA
2006
IEEE
103views Robotics» more  ICRA 2006»
13 years 11 months ago
Adapting Proposal Distributions for Accurate, Efficient Mobile Robot Localization
Patrick Beeson, Aniket Murarka, Benjamin Kuipers
AAAI
2000
13 years 6 months ago
Monte Carlo Localization with Mixture Proposal Distribution
Monte Carlo localization (MCL) is a Bayesian algorithm for mobile robot localization based on particle filters, which has enjoyed great practical success. This paper points out a ...
Sebastian Thrun, Dieter Fox, Wolfram Burgard
ICRA
2005
IEEE
210views Robotics» more  ICRA 2005»
13 years 10 months ago
Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling
— Recently Rao-Blackwellized particle filters have been introduced as effective means to solve the simultaneous localization and mapping (SLAM) problem. This approach uses a par...
Giorgio Grisetti, Cyrill Stachniss, Wolfram Burgar...
FLAIRS
2006
13 years 6 months ago
Developing Active Sensor Networks with Micro Mobile Robots: Distributed Node Localization
A new sensor network architecture called active sensor network (ASN) is proposed in this paper. By integrating multiple small, sensor network-friendly mobile robots into a traditi...
Weihua Sheng, Girma S. Tewolde
RAS
2008
136views more  RAS 2008»
13 years 3 months ago
Action evaluation for mobile robot global localization in cooperative environments
This work is about solving the global localization issue for mobile robots operating in large and cooperative environments. It tackles the problem of estimating the pose of a robo...
Andreu Corominas Murtra, Josep Maria Mirats i Tur,...