Suhas Kadalagere Sampath, Ning Wang, Hao Wu, Chenguang Yang
{"title":"Review on human-like robot manipulation using dexterous hands","authors":"Suhas Kadalagere Sampath, Ning Wang, Hao Wu, Chenguang Yang","doi":"10.1049/ccs2.12073","DOIUrl":null,"url":null,"abstract":"<p>In recent years, human hand-based robotic hands or dexterous hands have gained attention due to their enormous capabilities of handling soft materials compared to traditional grippers. Back in the earlier days, the development of a hand model close to that of a human was an impossible task but with the advancements made in technology, dexterous hands with three, four or five-fingered robotic hands have been developed to mimic human hand nature. However, human-like manipulation of dexterous hands to this date remains a challenge. Thus, this review focuses on (a) the history and motivation behind the development of dexterous hands, (b) a brief overview of the available multi-fingered hands, and (c) learning-based methods such as traditional and data-driven learning methods for manipulating dexterous hands. Additionally, it discusses the challenges faced in terms of the manipulation of multi-fingered or dexterous hands.</p>","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"5 1","pages":"14-29"},"PeriodicalIF":1.2000,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12073","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognitive Computation and Systems","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/ccs2.12073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 2
Abstract
In recent years, human hand-based robotic hands or dexterous hands have gained attention due to their enormous capabilities of handling soft materials compared to traditional grippers. Back in the earlier days, the development of a hand model close to that of a human was an impossible task but with the advancements made in technology, dexterous hands with three, four or five-fingered robotic hands have been developed to mimic human hand nature. However, human-like manipulation of dexterous hands to this date remains a challenge. Thus, this review focuses on (a) the history and motivation behind the development of dexterous hands, (b) a brief overview of the available multi-fingered hands, and (c) learning-based methods such as traditional and data-driven learning methods for manipulating dexterous hands. Additionally, it discusses the challenges faced in terms of the manipulation of multi-fingered or dexterous hands.