首页|China University of Petroleum Researcher Provides New Insights into Machine Lear ning (Anthropomorphic Soft Hand: Dexterity, Sensing, and Machine Learning)
China University of Petroleum Researcher Provides New Insights into Machine Lear ning (Anthropomorphic Soft Hand: Dexterity, Sensing, and 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 Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news originating from Beijing, Peopl e's Republic of China, by NewsRx correspondents, research stated, "Humans posses s dexterous hands that surpass those of other animals, enabling them to perform intricate, complex movements." Financial supporters for this research include Beijing Natural Science Foundatio n. Our news correspondents obtained a quote from the research from China University of Petroleum: "Soft hands, known for their inherent flexibility, aim to replica te the functionality of human hands. This article provides an overview of the de velopment processes and key directions in soft hand evolution. Starting from bas ic multi-finger grippers, these hands have made significant advancements in the field of robotics. By mimicking the shape, structure, and functionality of human hands, soft hands can partially replicate human-like movements, offering adapta bility and operability during grasping tasks. In addition to mimicking human han d structure, advancements in flexible sensor technology enable soft hands to exh ibit touch and perceptual capabilities similar to humans, enhancing their perfor mance in complex tasks. Furthermore, integrating machine learning techniques has significantly promoted the advancement of soft hands, making it possible for th em to intelligently adapt to a variety of environments and tasks." According to the news reporters, the research concluded: "It is anticipated that these soft hands, designed to mimic human dexterity, will become a focal point in robotic hand development. They hold significant application potential for ind ustrial flexible gripping solutions, medical rehabilitation, household services, and other domains, offering broad market prospects."
China University of PetroleumBeijingPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learni ng
NETL
NSTL
