Fully Soft Pressure Sensor Based on Bionic Spine-Pillar Structure for Robotics Motion Monitoring.

Journal: Soft robotics
Published Date:

Abstract

Soft and stretchable sensors are essential to the development of electronic skin, especially their potential applications in health care and intelligent robots, which have increasingly attracted attentions. Herein, inspired by the epidermal tissue hierarchy, we propose a high-sensitivity fully soft capacitive pressure sensor with bionic spine-pillar microstructure. Benefiting from the combination of the random microscale spines and the millimeter-sized pillar array prepared based on polydimethylsiloxane, the proposed sensor exhibits a well deformability, a high sensitivity up to 2.87 k/Pa at low-pressure range, and a broad linear pressure dynamic range from 5 Pa to 100 kPa. A simple equivalent circuit model was established to demonstrate the sensing mechanism and geometric effect. For practical application demonstrations, the sensor was utilized to monitor local subtle and large movements of the skin, such as finger bending, wrist bending, swallowing, and facial muscle movements. The sensor shows a conformality with human skin to follow the skin extension closely. Furthermore, the proposed sensing strategy can provide a distinguishable tactile feedback for controlling robot arm and soft claw in various tasks, illustrating its potential applications in robotics.

Authors

  • Jinlin Liu
    College of Electronics and Information Engineering, Shandong University of Science and Technology, Qingdao, China.
  • Yanan Yang
    College of Electronics and Information Engineering, Shandong University of Science and Technology, Qingdao, China.
  • Jie Peng
    School of Physical Education, Liupanshui Normal University, Liupanshui, China.
  • Haicheng Wang
    College of Electronics and Information Engineering, Shandong University of Science and Technology, Qingdao, China.
  • Da Chen
    College of Electronics and Information Engineering, Shandong University of Science and Technology, Qingdao, China.
  • Yijian Liu
    College of Electronics and Information Engineering, Shandong University of Science and Technology, Qingdao, China.
  • Lina Yang
    Departments of Geriatrics, The First Hospital of China Medical University, Shenyang, Liaoning 110001, PR China; Department of International Physical Examination Center, The First Hospital of China Medical University, Shenyang, Liaoning 110001, PR China. Electronic address: yanglina1984@163.com.
  • Huining Chen
    College of Electronics and Information Engineering, Shandong University of Science and Technology, Qingdao, China.