Mobile robot global localization using an evolutionary MAP filter

DOI10.1007/s10898-006-9054-8zbMath1111.68137OpenAlexW2047210165MaRDI QIDQ878222

N. E. Zubov

Publication date: 26 April 2007

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10898-006-9054-8

zbMATH Keywords

Mobile robotsNonlinear filterEvolutive algorithmEvolutive localization filterGlobal localizationMaximum a posteriori estimate

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Approximation methods and heuristics in mathematical programming (90C59) Artificial intelligence for robotics (68T40)

Cites Work

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• Bayesian landmark learning for mobile robot localization
• Modeling a dynamic environment using a Bayesian multiple hypothesis approach
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• On the convergence rates of genetic algorithms
• Sequential Monte Carlo Methods for Dynamic Systems
• Robust Monte Carlo localization for mobile robots

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