Robotics & Machine Learning Daily News2024,Issue(Dec.5) :91-92.

Study Results from Southeast University in the Area of Robotics Published (Wire- arc directed energy deposition of metal using a tendon-driven soft robotic gun: prototyping and conceptual validation)

东南大学在机器人领域的研究结果发表(使用腱驱动软机器人枪的金属线弧定向能量沉积:原型和概念验证)

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :91-92.

Study Results from Southeast University in the Area of Robotics Published (Wire- arc directed energy deposition of metal using a tendon-driven soft robotic gun: prototyping and conceptual validation)

东南大学在机器人领域的研究结果发表(使用腱驱动软机器人枪的金属线弧定向能量沉积:原型和概念验证)

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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-机器人的最新数据在一份新的报告中呈现。根据新闻报道在中华人民共和国南京,由NewsRx记者报道,研究表明:“大多数定向能沉积(DED)实施方式采用刚性末端执行器逐层沉积材料,在空间限制的情况下是不够的。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on robotics are presented i n a new report. According to news reportingfrom Nanjing, People’s Republic of C hina, by NewsRx journalists, research stated, “Most directed energydeposition ( DED) implementations employ a rigid end effector to deposit material layer-by-la yer, whichis insufficient in cases with space constraints.”

Key words

Southeast University/Nanjing/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robotics/Robo ts

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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