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AROBOTS
2008
104views more  AROBOTS 2008»
13 years 7 months ago
Modeling dynamic scenarios for local sensor-based motion planning
This paper addresses the modeling of the static and dynamic parts of the scenario and how to use this information with a sensor-based motion planning system. The contribution in th...
Luis Montesano, Javier Minguez, Luis Montano
ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
14 years 28 days ago
Using Reinforcement Learning to Improve Exploration Trajectories for Error Minimization
Abstract— The mapping and localization problems have received considerable attention in robotics recently. The exploration problem that drives mapping has started to generate sim...
Thomas Kollar, Nicholas Roy
TSMC
1998
169views more  TSMC 1998»
13 years 6 months ago
Real-time map building and navigation for autonomous robots in unknown environments
—An algorithmic solution method is presented for the problem of autonomous robot motion in completely unknown environments. Our approach is based on the alternate execution of tw...
Giuseppe Oriolo, Giovanni Ulivi, Marilena Venditte...
ISRR
2001
Springer
105views Robotics» more  ISRR 2001»
13 years 11 months ago
Towards Robust Data Association and Feature Modeling for Concurrent Mapping and Localization
One of the most challenging aspects of concurrent mapping and localization (CML) is the problem of data association. Because of uncertainty in the origins of sensor measurements, i...
John J. Leonard, Paul M. Newman, Richard J. Rikosk...
ICML
1996
IEEE
14 years 7 months ago
Passive Distance Learning for Robot Navigation
Autonomous mobile robots need good models of their environment, sensors and actuators to navigate reliably and efficiently. While this information can be supplied by humans, or le...
Sven Koenig, Reid G. Simmons