首页    期刊浏览 2024年10月05日 星期六
登录注册

文章基本信息

  • 标题:A 3D-printed neuromorphic humanoid hand for grasping unknown objects
  • 本地全文:下载
  • 作者:Chao Bao ; Tae-Ho Kim ; Amirhossein Hassanpoor Kalhori
  • 期刊名称:iScience
  • 印刷版ISSN:2589-0042
  • 出版年度:2022
  • 卷号:25
  • 期号:4
  • 页码:1-14
  • DOI:10.1016/j.isci.2022.104119
  • 语种:English
  • 出版社:Elsevier
  • 摘要:SummaryCompared with conventional von Neumann’s architecture-based processors, neuromorphic systems provide energy-saving in-memory computing. We present here a 3D neuromorphic humanoid hand designed for providing an artificial unconscious response based on training. The neuromorphic humanoid hand system mimics the reflex arc for a quick response by managing complex spatiotemporal information. A 3D structural humanoid hand is first integrated with 3D-printed pressure sensors and a portable neuromorphic device that was fabricated by the multi-axis robot 3D printing technology. The 3D neuromorphic robot hand provides bioinspired signal perception, including detection, signal transmission, and signal processing, together with the biomimetic reflex arc function, allowing it to hold an unknown object with an automatically increased gripping force without a conventional controlling processor. The proposed system offers a new approach for realizing an unconscious response with an artificially intelligent robot.Graphical abstractDisplay OmittedHighlights•3D curvilinear structures were fabricated by multi-directional 3D printing•A Kresling-based origami sensor was designed for precise pressure sensing•Our neuromorphic hand shows the bioinspired signal perception•The neuromorphic humanoid hand demonstrates unconscious grasping of unknown objectsComputer hardware; Manufacturing; Robotics; Automation; Sensor system
国家哲学社会科学文献中心版权所有