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A space crawling robotic bio-paw (SCRBP) enabled by triboelectric sensors for surface identification

  • Xuyan Hou
  • , Li Zhang
  • , Yilin Su
  • , Guowei Gao
  • , Yuhui Liu
  • , Zhonglai Na
  • , Qing Zhang Xu
  • , Tianxiang Ding
  • , Li Xiao*
  • , Long Li
  • , Tao Chen
  • *Corresponding author for this work
  • School of Mechatronics Engineering, Harbin Institute of Technology
  • College of Biological and Agricultural Engineering
  • Hong Kong Polytechnic University
  • China Astronaut Research and Training Center
  • Shanghai University
  • Soochow University

Research output: Contribution to journalArticlepeer-review

Abstract

With the rapid development of space crawling robotics technology, tactile perception, a significant source for the robot to sense the external environment, has become the preferred solution to gather information in space. Sensors embedded in the robotic end-effector unit can collect and encode the large tactile data, allowing the robot to feel and perceive the real surroundings. Therefore, a space crawling robotic bio-paw (SCRBP) inspired by a cat paw, which performs as a compliant device and can flat the impulse force during the robot's contact process to the target surface, is proposed in this paper. Meanwhile, a touch-sensing system embedded on SCRBP with self-powered sensors based on the triboelectric nanogenerator (TENG) technology is proposed which can provide the multi-dimensional sensation information in real time. By combining with machine learning (ML), the sensory system can be used for surface identification from the footfall process to the robot's controller hub. In conclusion, SCRBP device proposed in this paper has obvious advantages in surface information acquisition, space adaptability, power consumption, cost, reliable signal and minimized data. Accordingly, SCRBP system shows fabulous potential in space robotics.

Original languageEnglish
Article number108013
JournalNano Energy
Volume105
DOIs
StatePublished - Jan 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Bio-Paw device
  • Footfall process
  • Space environment
  • TENG sensors
  • Tactile perception

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