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IPSN
2010
Springer
14 years 3 months ago
Bayesian optimization for sensor set selection
We consider the problem of selecting an optimal set of sensors, as determined, for example, by the predictive accuracy of the resulting sensor network. Given an underlying metric ...
Roman Garnett, Michael A. Osborne, Stephen J. Robe...
ICRA
2007
IEEE
115views Robotics» more  ICRA 2007»
14 years 3 months ago
Sensor Selection Using Information Complexity for Multi-sensor Mobile Robot Localization
—Our sensor selection algorithm targets the problem of global self-localization of multi-sensor mobile robots. The algorithm builds on the probabilistic reasoning using Bayes fil...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
ICRA
2010
IEEE
109views Robotics» more  ICRA 2010»
13 years 7 months ago
Simultaneous object class and pose estimation for mobile robotic applications with minimalistic recognition
Abstract— In this paper we address the problem of simultaneous object class and pose estimation using nothing more than object class label measurements from a generic object clas...
Alper Aydemir, Adrian N. Bishop, Patric Jensfelt
ICPR
2006
IEEE
14 years 10 months ago
Bayesian Imitation of Human Behavior in Interactive Computer Games
Modern interactive computer games provide the ability to objectively record complex human behavior, offering a variety of interesting challenges to the pattern-recognition communi...
Bernard Gorman, Christian Bauckhage, Christian Thu...
ICRA
2009
IEEE
132views Robotics» more  ICRA 2009»
14 years 3 months ago
Smoothed Sarsa: Reinforcement learning for robot delivery tasks
— Our goal in this work is to make high level decisions for mobile robots. In particular, given a queue of prioritized object delivery tasks, we wish to find a sequence of actio...
Deepak Ramachandran, Rakesh Gupta