Integrated Multifunctional Electronic Skins with Low-Coupling for Complicated and Accurate Human-Robot Collaboration.

Journal: Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Published Date:

Abstract

Multifunctional capability and low coupling electronic skin (e-skin) is of great significance in advanced robot systems interacting with the human body or the external environment directly. Herein, a multifunctional e-skin system via vertical integrated different sensing materials and structures is presented. The multifunctional e-skin has capacity sensing the proximity, pressure, temperature, and relative humidity simultaneously, with scope of 100-0 mm, 0-30 N, 20-120 °C and 20-70%, respectively. The sensitivity of the four kinds of sensors can be achieved to 0.72 mm , 16.34 N , 0.0032 °C , and 15.2 pF/%RH, respectively. The cross-coupling errors are less than 1.96%, 1.08%, 2.65%, and 1.64%, respectively, after temperature compensation. To be state-of-the-art, a commercial robot is accurately controlled via the multifunctional e-skin system in the complicated environment. The following and safety controlling exhibit both accuracy and high dynamic features. To improve the sensing performance to the insulating objects, machine learning is employed to classify the conductivity during the object approaching, leading to set the threshold in dynamic. The accuracy for isolating the insulator increases from 18% to 88%. Looking forward, the multifunctional e-skin system has broader applications in human-machine collaboration and industrial safety production technology.

Authors

  • Chuanyang Ge
    State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150080, China.
  • Xuyang An
    State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150080, China.
  • Xinxin He
    Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China.
  • Zhan Duan
    State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150080, China.
  • Jiatai Chen
    State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150080, China.
  • PingAn Hu
    School of Materials Science and Engineering, Harbin Institute of Technology, Harbin150080, China.
  • Jie Zhao
    Department of Liver & Gallbladder Surgery, The First People's Hospital, Shangqiu, Henan, China.
  • Zhenlong Wang
    State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150080, China.
  • Jia Zhang
    Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.