首页|Recent Findings from Taiyuan University of Science & Technology Pr ovides New Insights into Robotics (Dynamic Load Acquisition Method for a Crawler Driving Structure of a Roadheader Robot Under Random Road)
Recent Findings from Taiyuan University of Science & Technology Pr ovides New Insights into Robotics (Dynamic Load Acquisition Method for a Crawler Driving Structure of a Roadheader Robot Under Random Road)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Robotics are disc ussed in a new report. According to news reporting from Shanxi, People's Republi c of China, by NewsRx journalists, research stated, "A method utilizing an embed ded sensing system to determine the dynamic load is proposed to address the prob lem of not being able to directly obtain the dynamic load time history of a craw ler driving structure in the harsh underground working environment of a coal min e roadheader robot. A crawler driving structure and its embedded sensing system are designed." Funders for this research include National Natural Science Foundation of China ( NSFC), Shanxi Provincial Key Research and Development Project.
ShanxiPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsTaiyuan University o f Science & Technology
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