Robotics & Machine Learning Daily News2024,Issue(Oct.25) :20-21.

University of Science and Technology Beijing Researchers Publish Findings in Rob otics (Path tracking of car-like robots based on feed-forward model predictive control)

Robotics & Machine Learning Daily News2024,Issue(Oct.25) :20-21.

University of Science and Technology Beijing Researchers Publish Findings in Rob otics (Path tracking of car-like robots based on feed-forward model predictive control)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in robotics. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Car-like robots are mobile robots commonl y used in manufacturing and warehousing. This type of robot has a mechanical str ucture similar to that of an unmanned vehicle, which uses the front wheels as st eering structures. However, this type of robot has characteristics that signific antly influence path tracking control relative to unmanned vehicles, such as a l arger magnitude of reference path curvature, a smaller range of system constrain ts, and a lower degree of part standardization.”

Key words

University of Science and Technology Beijing/Beijing/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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