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» Monte Carlo Localization with Mixture Proposal Distribution
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AAAI
2006
13 years 8 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...
JMLR
2010
152views more  JMLR 2010»
13 years 2 months ago
Bayesian Generalized Kernel Models
We propose a fully Bayesian approach for generalized kernel models (GKMs), which are extensions of generalized linear models in the feature space induced by a reproducing kernel. ...
Zhihua Zhang, Guang Dai, Donghui Wang, Michael I. ...
ADHOC
2008
101views more  ADHOC 2008»
13 years 7 months ago
Monte Carlo localization for mobile wireless sensor networks
Localization is crucial to many applications in wireless sensor networks. In this article, we propose a range-free anchorbased localization algorithm for mobile wireless sensor ne...
Aline Baggio, Koen Langendoen
IROS
2006
IEEE
162views Robotics» more  IROS 2006»
14 years 1 months ago
Efficiency Improvement in Monte Carlo Localization through Topological Information
- Monte Carlo localization is known to be one of the most reliable methods for pose estimation of a mobile robot. Many studies have been conducted to improve performance of MCL. Al...
Tae-Bum Kwon, Ju-Ho Yang, Jae-Bok Song, Woojin Chu...
JAIR
2011
187views more  JAIR 2011»
13 years 2 months ago
A Monte-Carlo AIXI Approximation
This paper describes a computationally feasible approximation to the AIXI agent, a universal reinforcement learning agent for arbitrary environments. AIXI is scaled down in two ke...
Joel Veness, Kee Siong Ng, Marcus Hutter, William ...