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ICRA
2009
IEEE
138views Robotics» more  ICRA 2009»
14 years 12 days 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
SPATIALCOGNITION
2000
Springer
13 years 9 months ago
Schematic Maps for Robot Navigation
An approach to high-level interaction with autonomous robots by means of schematic maps is outlined. Schematic maps are knowledge representation structures to encode qualitative s...
Christian Freksa, Reinhard Moratz, Thomas Barkowsk...
AAAI
2007
13 years 8 months ago
Spatial Representation and Reasoning for Human-Robot Collaboration
How should a robot represent and reason about spatial information when it needs to collaborate effectively with a human? The form of spatial representation that is useful for robo...
William G. Kennedy, Magdalena D. Bugajska, Matthew...
MICAI
2009
Springer
14 years 9 days ago
A Two-Stage Relational Reinforcement Learning with Continuous Actions for Real Service Robots
Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
Julio H. Zaragoza, Eduardo F. Morales
RAS
2007
117views more  RAS 2007»
13 years 5 months ago
Learning spatial concepts from RatSLAM representations
RatSLAM is a biologically-inspired visual SLAM and navigation system that has been shown to be effective indoors and outdoors on real robots. The spatial representation at the cor...
Michael Milford, Ruth Schulz, David Prasser, Gordo...