Robotics & Machine Learning Daily News2024,Issue(Jun.10) :9-10.

New Robotics Study Findings Recently Were Reported by Researchers at Zhejiang Un iversity (Multi-algorithm Fusion-based Intelligent Decision-making Method for Ro botic Belt Grinding Process Parameters)

浙江大学的研究人员最近报道了机器人学的新发现(基于多算法融合的砂带磨削工艺参数智能决策方法)

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :9-10.

New Robotics Study Findings Recently Were Reported by Researchers at Zhejiang Un iversity (Multi-algorithm Fusion-based Intelligent Decision-making Method for Ro botic Belt Grinding Process Parameters)

浙江大学的研究人员最近报道了机器人学的新发现(基于多算法融合的砂带磨削工艺参数智能决策方法)

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摘要

《机器人与机器学习日报》的一位新闻记者兼新闻编辑报道称,机器人的新研究是一项回购的主题。根据NewsRx记者在中华人民共和国杭州发布的新闻报道,研究称,“机器人砂带磨削是加工复杂零件的常用方法。针对机器人砂带磨削过程的复杂性给磨削效率和质量带来的挑战,提出了一种基于多算法融合的智能决策方法。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Robotics is the subject of a repo rt. According to news reporting originating in Hangzhou, People’s Republic of Ch ina, by NewsRx journalists, research stated, “Robotic belt grinding is a product ive method frequently used to finish intricate parts. To address the challenges of ensuring grinding efficiency and quality due to the complexity of the robotic belt polishing process, a multi-algorithm fusion-based intelligent decision-mak ing method is proposed in this study.”

Key words

Hangzhou/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Robotics/Robots/Zheji ang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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