Multispecies hybrid bioinspired climbing robot for wall tile inspection

被引:3
|
作者
Lin, Tzu-Hsuan [1 ]
Chiang, Pin-Chian [1 ]
Putranto, Alan [1 ]
机构
[1] Natl Cent Univ, Dept Civil Engn, Taoyuan 32011, Taiwan
关键词
Multispecies hybrid bioinspired robotics; Climbing robot; Exterior wall tiles inspection; GLEWBOT; Convolutional neural network (CNN); Edge computing; Acoustic recognition; Defect detection; Tiny machine learning;
D O I
10.1016/j.autcon.2024.105446
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This study introduces GLEWBOT (Gecko, Leech, and Woodpecker-inspired Robot), a cutting-edge, multispecies hybrid bioinspired robot engineered for inspecting exterior wall tiles. By integrating the adaptive locomotion techniques of leeches, the stability mechanisms found in gecko tails, and the percussive impact strategy of woodpeckers, GLEWBOT revolutionizes the inspection of wall surfaces. This innovative approach not only boosts inspection accuracy but also increases efficiency substantially. Constructed using 3D printing technologies, GLEWBOT combines lightweight design with structural integrity and integrates advanced microcontrollers for real-time, efficient inspection tasks. The robot features vacuum-based suction cup footpads for solid adhesion, minimizing detachment risks, and employs a compact machine learning model for instant on-site defect detection. This model, designed for edge computing, overcomes the hurdles of high computational demands. Additionally, GLEWBOT is equipped with an AI-powered acoustic recognition module, using a dedicated convolutional neural network (CNN) to assess tile integrity objectively. This significantly advances subjective manual inspections, offering a more reliable, objective analysis. Experimental trials involving systematic tapping across 26 tiles on a model wall validated GLEWBOT's defect detection capabilities. With an overall accuracy of 74.62%, precision of 75.4%, recall of 73.08%, and an F1-score of 74.22%, confirm GLEWBOT's potential as a reliable tool for identifying tile defects. Future work will focus on expanding GLEWBOT's versatility across different architectural materials and contexts while considering economic and regulatory factors for broader deployment. This research sets a new standard in robotic inspection for building maintenance and fosters interdisciplinary collaboration by illustrating the successful integration of bioinspired designs and artificial intelligence in structural inspections.
引用
收藏
页数:23
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