Robotics & Machine Learning Daily News2024,Issue(Nov.18) :84-84.

Findings from Jiangsu University Advance Knowledge in Robotics (Kinematic Constr ained RRT Algorithm with Post Waypoint Shift for the Shortest Path Planning of W heeled Mobile Robots)

Robotics & Machine Learning Daily News2024,Issue(Nov.18) :84-84.

Findings from Jiangsu University Advance Knowledge in Robotics (Kinematic Constr ained RRT Algorithm with Post Waypoint Shift for the Shortest Path Planning of W heeled Mobile Robots)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Research findings on robotics are discussed in a new report. According to news reporting out ofZhenjiang, People’s Republic of C hina, by NewsRx editors, research stated, “This paper presents a rapidlyexplori ng random tree (RRT) algorithm with an effective post waypoint shift, which is s uitable for thepath planning of a wheeled mobile robot under kinematic constrai nts.”

Key words

Jiangsu University/Zhenjiang/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Na no-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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