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2007
159views Robotics» more  RSS 2007»
13 years 10 months ago
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...
Christian Plagemann, Kristian Kersting, Patrick Pf...
AAAI
2006
13 years 10 months ago
Bayesian Calibration for Monte Carlo Localization
Localization is a fundamental challenge for autonomous robotics. Although accurate and efficient techniques now exist for solving this problem, they require explicit probabilistic...
Armita Kaboli, Michael H. Bowling, Petr Musí...
ICRA
2006
IEEE
99views Robotics» more  ICRA 2006»
14 years 2 months ago
Bayesian Estimation for Autonomous Object Manipulation based on Tactile Sensors
Abstract— We consider the problem of autonomously estimating position and orientation of an object from tactile data. When initial uncertainty is high, estimation of all six para...
Anna Petrovskaya, Oussama Khatib, Sebastian Thrun,...
CRV
2009
IEEE
156views Robotics» more  CRV 2009»
14 years 3 months ago
A Bayesian Algorithm for Reading 1D Barcodes
The 1D barcode is a ubiquitous labeling technology, with symbologies such as UPC used to label approximately 99% of all packaged goods in the US. It would be very convenient for c...
Ender Tekin, James Coughlan
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
14 years 3 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox