Robotics & Machine Learning Daily News2024,Issue(Dec.24) :35-36.

Data from Guangxi University of Science and Technology Advance Knowledge in Robo tics (Path Planning of Multi-axis Robotic Arm Based On Improved Rrt)

Robotics & Machine Learning Daily News2024,Issue(Dec.24) :35-36.

Data from Guangxi University of Science and Technology Advance Knowledge in Robo tics (Path Planning of Multi-axis Robotic Arm Based On Improved Rrt)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Robotics is now available. Accordi ng to news reporting originating in Liuzhou,People’s Republic of China, by News Rx journalists, research stated, “An improved RRT* algorithm,referred to as the AGP-RRT* algorithm, is proposed to address the problems of poor directionality, longgenerated paths, and slow convergence speed in multi-axis robotic arm path planning. First, an adaptivebiased probabilistic sampling strategy is adopted to dynamically adjust the target deviation threshold andoptimize the selection of random sampling points and the direction of generating new nodes in order toreduce the search space and improve the search efficiency.”

Key words

Liuzhou/People’s Republic of China/Asi a/Algorithms/Emerging Technologies/Machine Learning/Robotics/Robots/Guangx I University of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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