Robotics & Machine Learning Daily News2024,Issue(Feb.14) :40-40.DOI:10.1109/TASE.2023.3346693

Reports Outline Robotics Findings from Jiangsu University (A Convex Optimization Method To Time-optimal Trajectory Planning With Jerk Constraint for Industrial Robotic Manipulators)

Robotics & Machine Learning Daily News2024,Issue(Feb.14) :40-40.DOI:10.1109/TASE.2023.3346693

Reports Outline Robotics Findings from Jiangsu University (A Convex Optimization Method To Time-optimal Trajectory Planning With Jerk Constraint for Industrial Robotic Manipulators)

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Abstract

Investigators publish new report on Robotics. According to news reporting originating in Zhenjiang, People’s Republic of China, by NewsRx journalists, research stated, “This paper proposes a convex time-optimal trajectory planning method for industrial robotic manipulators with jerk constraints. To achieve smooth and efficient trajectories, the square of the pseudo velocity profile is constructed using a cubic uniform B-spline, and a linear relationship is defined with the control points of the B-spline to preserve convexity in the pseudo states.”

Key words

Zhenjiang/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robotics/Robots/Jiangsu University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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