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AROBOTS
2010
194views more  AROBOTS 2010»
13 years 2 months ago
Computationally efficient solutions for tracking people with a mobile robot: an experimental evaluation of Bayesian filters
Abstract Modern service robots will soon become an essential part of modern society. As they have to move and act in human environments, it is essential for them to be provided wit...
Nicola Bellotto, Huosheng Hu
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
13 years 10 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
ICRA
2007
IEEE
130views Robotics» more  ICRA 2007»
13 years 10 months ago
Mobile Robot Localization based on a Polynomial Approach
— This paper introduces a new analytical algorithm to perform the localization of a mobile robot using odometry and laser readings. Based on a polynomial approach, the proposed a...
C. Manes, Agostino Martinelli, F. Martinelli, P. P...
IJSR
2010
153views more  IJSR 2010»
13 years 1 months ago
A Bank of Unscented Kalman Filters for Multimodal Human Perception with Mobile Service Robots
A new generation of mobile service robots could be ready soon to operate in human environments if they can robustly estimate position and identity of surrounding people. Researcher...
Nicola Bellotto, Huosheng Hu