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» Covisibility-Based Map Learning Method for Mobile Robots
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NN
2008
Springer
114views Neural Networks» more  NN 2008»
13 years 7 months ago
Event detection and localization for small mobile robots using reservoir computing
Reservoir Computing (RC) techniques use a fixed (usually randomly created) recurrent neural network, or more generally any dynamic system, which operates at the edge of stability,...
Eric A. Antonelo, Benjamin Schrauwen, Dirk Strooba...
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 6 months ago
A general Gaussian-mixture approach for range-only mapping using multiple hypotheses
— Radio signal-based localization and mapping is becoming more interesting as applications involving the collaboration between robots and static wireless devices are more common....
Fernando Caballero, Luis Merino, Aníbal Oll...
CIRA
2007
IEEE
152views Robotics» more  CIRA 2007»
14 years 2 months ago
Probabilistic Semantic Mapping with a Virtual Sensor for Building/Nature detection
Abstract— In human-robot communication it is often important to relate robot sensor readings to concepts used by humans. We believe that access to semantic maps will make it poss...
Martin Persson, Tom Duckett, Christoffer Valgren, ...
IJRR
2008
151views more  IJRR 2008»
13 years 7 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
AROBOTS
2002
91views more  AROBOTS 2002»
13 years 7 months ago
Fast, On-Line Learning of Globally Consistent Maps
To navigate in unknown environments, mobile robots require the ability to build their own maps. A major problem for robot map building is that odometry-based dead reckoning cannot ...
Tom Duckett, Stephen Marsland, Jonathan Shapiro