MXene and PAN-Based Carbon Fiber Enhanced Bimodal Triboelectric Sensor for Robotic Arm Perception and Control.

Journal: Small (Weinheim an der Bergstrasse, Germany)
Published Date:

Abstract

Endowing robots with human-like perception and thinking to match the growing intelligentization remains a challenge. Here, an MXene and polyacrylonitrile (PAN) based carbon fiber enhanced bimodal triboelectric sensor (MPBS) is proposed to integrate with a commercial robotic arm, establishing a novel paradigm for perception and control. The touchless and tactile perception performance are further improved by a functional layer doped with MXene nanosheets and electrodes composed of PAN-based carbon fibers. With 2 wt.% MXene, the MPBS electrical output increases by 100%, achieving a touchless sensing range of 200 cm and a peak output ratio of 3.65 V cm . Integrating MPBSs into flexible fingers, a soft gripper with bimodal perception capabilities is developed. The touchless signals provide valuable insights into material composition, whereas the tactile mode enables precise shape recognition with an accuracy of 99.4%. The further integrated robotic arm utilizes touchless sensing to autonomously explore objects and run control actions when unexpected events occur. 10 types of object materials and shapes are identified with 98.7% accuracy using a convolutional neural network (CNN) that fuses touchless and tactile data. Demonstration of multitask applications, through the AI-enabled robotic arm system, is successfully created for object detection, intelligent sorting, and pipeline inspection.

Authors

  • Fangyang Dong
    Marine Engineering College, Dalian Maritime University, Dalian, People's Republic of China.
  • Qinghe Peng
    State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
  • Guang-An Yu
    Dalian Key Lab of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China.
  • Hengxu Du
    Dalian Key Lab of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China.
  • Weilu Sha
    Dalian Key Lab of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China.
  • Peishuo Li
    Dalian Key Lab of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China.
  • Yilin Liu
    JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, China.
  • Hu Cai
    Dalian Key Lab of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China.
  • Taili Du
    Dalian Key Lab of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China.
  • Minyi Xu
    State Key Laboratory of Electronic Thin Film and Integrated Devices, University of Electronic Science and Technology of China, Chengdu, 611731, China.

Keywords

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