首页|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)
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)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.”
HangzhouPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningNano-robotRobotRobotic sRobotsZhejiang University
NETL
NSTL
