Robotics & Machine Learning Daily News2024,Issue(Dec.23) :79-80.

Study Data from Northwestern Polytechnic University Provide New Insights into Ro botics (A Reliable Robot Localization Method Using Lidar and Gnss Fusion Based O n a Two-step Particle Adjustment Strategy)

Robotics & Machine Learning Daily News2024,Issue(Dec.23) :79-80.

Study Data from Northwestern Polytechnic University Provide New Insights into Ro botics (A Reliable Robot Localization Method Using Lidar and Gnss Fusion Based O n a Two-step Particle Adjustment Strategy)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Robotics have been publi shed. According to news reporting from Xi’an,People’s Republic of China, by New sRx journalists, research stated, “Accurate localization is essential forrobot autonomous navigation. The localization methods that rely overly on the global n avigation satellitesystem (GNSS) are not reliable in urban environments where G NSS signals are vulnerable to occlusion.”Financial supporters for this research include Natural Science Basic Research Pl an in Shaanxi Provinceof China, Practice and Innovation Funds for Graduate Stud ents of Northwestern Polytechnical University,Key Research and Development Prog ram of Shaanxi.

Key words

Xi’an/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Robot/Robotics/Northwest ern Polytechnic University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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