Robotics & Machine Learning Daily News2024,Issue(Jul.15) :42-43.

New Robotics Study Results from Taiyuan University of Technology Described (Adap tive Autonomous Navigation System for Coal Mine Inspection Robots: Overcoming In tersection Challenges)

Robotics & Machine Learning Daily News2024,Issue(Jul.15) :42-43.

New Robotics Study Results from Taiyuan University of Technology Described (Adap tive Autonomous Navigation System for Coal Mine Inspection Robots: Overcoming In tersection Challenges)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics are disc ussed in a new report. According to news reportingoriginating in Taiyuan, Peopl e’s Republic of China, by NewsRx journalists, research stated, “PurposeInrespon se to the navigation challenges faced by coal mine tunnel inspection robots in s emistructured under- ground intersection environments, many current studies rely o n structured map-based planning algorithmsand trajectory tracking techniques. H owever, this approach is highly dependent on the accuracy of theglobal map, whi ch can lead to deviations from the predetermined route or collisions with obstac les.”Financial supporters for this research include Fundamental Research Program of S hanxi Province, KeyR&D Program of Shanxi Province, Bidding Project of Shanxi Province.

Key words

Taiyuan/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Taiyuan University of Technology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文