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IJRR
2008
151views more  IJRR 2008»
14 years 11 months ago
Trajectory Optimization using Reinforcement Learning for Map Exploration
Automatically building maps from sensor data is a necessary and fundamental skill for mobile robots; as a result, considerable research attention has focused on the technical chall...
Thomas Kollar, Nicholas Roy
109
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AROBOTS
2000
104views more  AROBOTS 2000»
14 years 11 months ago
Heterogeneous Teams of Modular Robots for Mapping and Exploration
In this article, we present the design of a team of heterogeneous, centimeter-scale robots that collaborate to map and explore unknown environments. The robots, called Millibots, a...
Robert Grabowski, Luis E. Navarro-Serment, Christi...
ICRA
2009
IEEE
138views Robotics» more  ICRA 2009»
15 years 6 months ago
Which landmark is useful? Learning selection policies for navigation in unknown environments
Abstract— In general, a mobile robot that operates in unknown environments has to maintain a map and has to determine its own location given the map. This introduces significant...
Hauke Strasdat, Cyrill Stachniss, Wolfram Burgard
IJRR
2002
175views more  IJRR 2002»
14 years 11 months ago
Navigation Strategies for Exploring Indoor Environments
This paper investigates safe and efficient map-building strategies for a mobile robot with imperfect control and sensing. In the implementation, a robot equipped with a range sens...
Héctor H. González-Baños, Jea...
IROS
2008
IEEE
172views Robotics» more  IROS 2008»
15 years 6 months ago
HybridExploration: A distributed approach to terrain exploration using mobile and fixed sensor nodes
— When an emergency occurs within a building, it may be initially safer to send autonomous mobile nodes, instead of human responders, to explore the area and identify hazards and...
Ettore Ferranti, Niki Trigoni, Mark Levene