机器人
摩擦电效应
管道(软件)
爬行
执行机构
灵活性(工程)
过程(计算)
管道运输
人工智能
工程类
计算机科学
适应性
模拟
机械工程
材料科学
操作系统
生态学
数学
复合材料
统计
解剖
生物
医学
作者
Rui Chen,Huigang Wang,Haoji Wang,Huijiang Wang,Baizhan Li,Xinpei Ai,Lifu Liu,Zhihao Hu,Zean Yuan
标识
DOI:10.1002/aisy.202400643
摘要
The challenging and unstructured environment within pipelines demands the robotic exploration platforms with high adaptability, maneuverability, and recognition ability. Current soft robots equipped with cutting‐edge actuators have demonstrated inherent benefits in navigating pipeline environments due to their material compliance and morphological adaptability. However, achieving inner‐pipe detection for pipeline‐climbing robots challenges the integration of sensors without compromising the robot's flexibility and operational functionalities. Herein, a soft robot that locomotes within pipelines and performs exteroception is presented. The main body of the robot is fabricated based on origami designs, powered by pneumatic actuators for locomotion and incorporates triboelectric nanogenerators as tactile sensors (T‐TENGs). Physical experiments have demonstrated the soft robot's capacity in crawling in various pipeline conditions such as the horizontal, vertical, and curved configurations. The T‐TENG‐based sensory system outputs distinct voltage signals upon exposed to different material and structural conditions, for which a 1D‐convolutional neutral network algorithm is exposed to process with the sequential signals. The robot achieves an overall recognition accuracy of 99% for distinguishing between eight distinct pipe inner surface structures and four different types of materials.
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