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

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 <sup>-2</sup>. 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.

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Journal
Small
Published
2025-06-16
DOI
https://doi.org/10.1002/smll.202503393
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.67

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article

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

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1 citations
Small
Advanced Sensor and Energy Harvesting Materials
0.67
article

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

Taili Du, Hu Cai, Wei Sha, Minyi Xu, Qichun Peng, Fangyang Dong, Yilin Liu, Guojun Yu, Peishuo Li, Hengxu Du
article en
1 citations

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 <sup>-2</sup>. 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.

SmallVol. 21(32)
Dalian Maritime University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 30%
Advanced Sensor and Energy Harvesting Materials
0.67
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