Robotics & Machine Learning Daily News2024,Issue(Oct.31) :89-89.

Researchers from National University of Defense Technology Report New Studies an d Findings in the Area of Robotics (Singlebeacon Localization for Mobile Robot: a Set Membership Filtering Approach)

Robotics & Machine Learning Daily News2024,Issue(Oct.31) :89-89.

Researchers from National University of Defense Technology Report New Studies an d Findings in the Area of Robotics (Singlebeacon Localization for Mobile Robot: a Set Membership Filtering Approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Current study results on Robotics have been published. According to news reportingfrom Changsha, People's Republic of China, by NewsRx journalists, research stated, "In this letter, westudy the lo calization problem of a mobile robot with range measurement from a single beacon . Previousfiltering-based studies usually required accurate statistics of noise s to be theoretically sound and reliable,which is difficult to obtain in practi cal systems."Financial support for this research came from National Natural Science Foundatio n of China (NSFC).The news correspondents obtained a quote from the research from the National Uni versity of DefenseTechnology, "To solve this problem, we propose an accurate an d efficient localization method based on aset-membership filtering framework wi th constrained zonotopes. This method includes three novel steps.First, we desi gn a convex optimization relaxation method to handle the non-convexity caused by thesingle-beacon range measurement. Then, a halfspace-intersection refinement is proposed which improvesthe estimation accuracy. Finally, we provide a slidin g-window recursive method that simultaneouslyguarantees the accuracy and the ef ficiency."

Key words

Changsha/People's Republic of China/As ia/Emerging Technologies/Machine Learning/Robot/Robotics/National Universit y of Defense Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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