Robotics & Machine Learning Daily News2024,Issue(Dec.6) :42-43.

Findings from Nanjing University of Aeronautics and Astronautics in Robotics Rep orted (Research On Dual-robot Cooperative Path Planning for Multi-material Addit ive Manufacturing)

南京航空航天大学机器人学报(多材料加工双机器人协同路径规划研究)

Robotics & Machine Learning Daily News2024,Issue(Dec.6) :42-43.

Findings from Nanjing University of Aeronautics and Astronautics in Robotics Rep orted (Research On Dual-robot Cooperative Path Planning for Multi-material Addit ive Manufacturing)

南京航空航天大学机器人学报(多材料加工双机器人协同路径规划研究)

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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-一项关于机器人的新研究现在已经开始。根据新闻报道在中华人民共和国南京,由NewsRx记者报道,研究报告称:“为了改善人们的生活质量。”多材料添加剂制造效率与提高多机器人协作安全性摘要针对具有不确定执行延迟的打印问题,提出了一种双机器人协作路径规划方法逐层打印。在该算法中,对打印区域的描述进行了重构通过简单地使用r角包络区和二维有向线段。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Robotics is now availab le. According to news reporting originatingfrom Nanjing, People’s Republic of C hina, by NewsRx correspondents, research stated, “To improve theefficiency of m ulti-material additive manufacturing and enhance the safety of multi-robot coope rativeprinting with uncertain execution delays, a dual-robot cooperative path p lanning method is proposed forlayer-by-layer printing. In the proposed algorith m, the description of the printing region is reconstructedby simply using the r ectangular envelope region and a two-dimensional directed line segment.”

Key words

Nanjing/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Robot/Robotics/Nanjing University of Aeronautics and Astronautics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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