Robotics & Machine Learning Daily News2024,Issue(Nov.29) :187-187.

Findings from Zhejiang University Yields New Data on Machine Learning (Design an d Shape Control of Robotic Morphing Interface With Reprogrammable Stiffness Base d On Machine Learning)

浙江大学的研究成果为机器学习提供了新的数据(基于机器学习的可编程刚度机器人变形界面三维形状控制设计)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :187-187.

Findings from Zhejiang University Yields New Data on Machine Learning (Design an d Shape Control of Robotic Morphing Interface With Reprogrammable Stiffness Base d On Machine Learning)

浙江大学的研究成果为机器学习提供了新的数据(基于机器学习的可编程刚度机器人变形界面三维形状控制设计)

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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-一项关于机器学习的新研究现在可用。根据新闻报道《中华人民共和国杭州》,由NewsRx编辑撰写,研究称:“在中国的变形生物自然启发了变形机器人的设计,包括软机器人、仿生机器人和物理机器人接口。然而,为了实现多目标形状模拟和多形态变换,变形机器人通常需要复杂的运算系统、控制策略和逆向设计算法。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting outof Hangzhou, People’s Republic of Ch ina, by NewsRx editors, research stated, “Deformable organisms innature inspire the design of shape-shifting robots, including soft robots, bionic robots and p hysical humanrobotinterfaces. However, to achieve multi-objective shape imitat ion and multi-form transformation,shape-shifting robots often require complex a ctuation systems, control strategies, and inverse designalgorithms.”

Key words

Hangzhou/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotic s/Robots/Zhejiang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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