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» Bayesian Landmark Learning for Mobile Robot Localization
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JIRS
2010
153views more  JIRS 2010»
14 years 7 months ago
Active Visual Perception for Mobile Robot Localization
Abstract Localization is a key issue for a mobile robot, in particular in environments where a globally accurate positioning system, such as GPS, is not available. In these environ...
Javier Correa, Alvaro Soto
ICRA
2008
IEEE
208views Robotics» more  ICRA 2008»
15 years 3 months ago
Unsupervised body scheme learning through self-perception
— In this paper, we present an approach allowing a robot to learn a generative model of its own physical body from scratch using self-perception with a single monocular camera. O...
Jürgen Sturm, Christian Plagemann, Wolfram Bu...
100
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AAAI
2006
14 years 11 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
CORR
2002
Springer
113views Education» more  CORR 2002»
14 years 9 months ago
Robust Global Localization Using Clustered Particle Filtering
Global mobile robot localization is the problem of determining a robot's pose in an environment, using sensor data, when the starting position is unknown. A family of probabi...
Javier Nicolás Sánchez, Adam Milstei...
NN
2008
Springer
114views Neural Networks» more  NN 2008»
14 years 9 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...