Robotics & Machine Learning Daily News2024,Issue(Nov.22) :72-73.

New Findings Reported from Osaka University Describe Advances in Robotics (Assem bly Task Allocation for Human-Robot Collaboration Considering Stability and Asse mbly Complexity)

大阪大学的新发现描述了机器人技术的进步(考虑稳定性和复杂性的人-机器人协作任务分配)

Robotics & Machine Learning Daily News2024,Issue(Nov.22) :72-73.

New Findings Reported from Osaka University Describe Advances in Robotics (Assem bly Task Allocation for Human-Robot Collaboration Considering Stability and Asse mbly Complexity)

大阪大学的新发现描述了机器人技术的进步(考虑稳定性和复杂性的人-机器人协作任务分配)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于机器人的详细数据已经公布。据丰中的新闻报道,日本,NewsRx记者,研究称,“本文提出了一种任务分配方法,用于基于装配复杂性的图形说明书人机协同装配同时考虑每个子装配任务的稳定性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on robotics have been pr esented. According to news reporting from Toyonaka,Japan, by NewsRx journalists , research stated, “This paper proposed a task allocation method forhuman-robot collaborative assembly from a graphical instruction manual based on the assembl y complexitywhile considering the stability of each sub-assembly task.”

Key words

Osaka University/Toyonaka/Japan/Asia/Emerging Technologies/Machine Learning/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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