Robotics & Machine Learning Daily News2024,Issue(Sep.26) :76-77.

Zhejiang University Details Findings in Robotics (A Collision-free Transition Pa th Planning Method for Placement Robots In Complex Environments)

Robotics & Machine Learning Daily News2024,Issue(Sep.26) :76-77.

Zhejiang University Details Findings in Robotics (A Collision-free Transition Pa th Planning Method for Placement Robots In Complex Environments)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Robotics. A ccording to news originating from Hangzhou, People’s Republic of China, by NewsR x correspondents, research stated, “In Automated Fiber Placement (AFP), the subs tantial structure of the placement robot, the variable mold shapes, and the limi ted free space pose significant challenges for planning collision-free robot tra nsitions. The task involves planning a collision-free path within the robot’s hi gh-dimensional configuration space.”

Key words

Hangzhou/People’s Republic of China/As ia/Algorithms/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robo tics/Zhejiang University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文