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» Bayesian Landmark Learning for Mobile Robot Localization
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JIRS
2010
153views more  JIRS 2010»
14 years 10 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
99
Voted
ICRA
2008
IEEE
208views Robotics» more  ICRA 2008»
15 years 6 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...
AAAI
2006
15 years 1 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
94
Voted
CORR
2002
Springer
113views Education» more  CORR 2002»
14 years 11 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 11 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...