An extended analysis on tuning the parameters of Adaptive Monte Carlo Localization ROS package in an automated guided vehicle-Reference-Cited by-同舟云学术

An extended analysis on tuning the parameters of Adaptive Monte Carlo Localization ROS package in an automated guided vehicle

Published:2021-08-12 Issue:5-6 Volume:117 Page:1975-1995
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Reis Wallace Pereira Neves dos^ORCID,Silva Guilherme José da,Junior Orides Morandin,Vivaldini Kelen Cristiane Teixeira

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00170-021-07437-0.pdf

Reference30 articles.

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2. Guzmán R, Navarro R, Cantero M, Ariño J (2017) Robotnik–professional service robotics applications with ROS (2). In: Robot Operating System (ROS). Springer, pp 419–447

3. Howard A, Gerkey B (2002) Adaptive Monte-Carlo Localization (AMCL) package. Robot Operating System (ROS). http://wiki.ros.org/amcl

4. Azevedo JPS (2017) Automatic parameter tuning of algorithms using optimization. Master’s thesis. Instituto Superior Técnico Lisboa - Lisbon, Portugal

5. dos Reis WPN, Morandin O, Vivaldini KCT (2019) A quantitative study of tuning ROS adaptive Monte Carlo localization parameters and their effect on an AGV localization. In: 2019 19th International Conference on Advanced Robotics (ICAR) . IEEE, pp 302–307

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