A Motion‐Sensing Integrated Soft Robot with Triboelectric Nanogenerator for Pipeline Inspection

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.

Authors

Institutions

Publication Details

Journal
Advanced Intelligent Systems
Published
2024-12-11
DOI
https://doi.org/10.1002/aisy.202400643
Citations
12
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
2.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Motion‐Sensing Integrated Soft Robot with Triboelectric Nanogenerator for Pipeline Inspection

Lifu Liu, Haoji Wang, Baizhan Li, Rui Chen et al.
12 citations
Advanced Intelligent Systems
Soft Robotics and Applications
2.21
article

A Motion‐Sensing Integrated Soft Robot with Triboelectric Nanogenerator for Pipeline Inspection

Lifu Liu, Haoji Wang, Baizhan Li, Rui Chen, Xinpei Ai, Huijiang Wang, Zean Yuan, Huigang Wang, Zhihao Hu
article en
12 citations

Abstract

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.

Advanced Intelligent SystemsVol. 7(6)
Chongqing University (CN), University of Cambridge (GB), Case Western Reserve University (US)
National Natural Science Foundation of China, Natural Science Foundation Project of Chongqing, Chongqing Science and Technology Commission
Openalex Percentile: Top 12%
Soft Robotics and Applications
2.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.