Design and Analysis of a Biomimetic Inchworm Magnetic Wall‐Climbing Robot

ABSTRACT This paper presents a biomimetic inchworm magnetic wall‐climbing robot, which meets the needs of on‐site welding, grinding, inspection, and other tasks for large steel structures. The robot is innovatively proposed by observing the movement of the inchworm, which can not only achieve the full internal corner wall adaptation between the ground and the vertical wall, and between the vertical wall and the ceiling, but also achieve the full external corner wall adaptation between the vertical wall and the roof and between the ceiling and the upper vertical wall. The mechanical behavior of the robot on vertical walls, inclined walls, ceiling, and traversing between various walls is thoroughly examined. The analysis provides essential mechanical criteria to ensure the robot's secure operation under various working conditions. To further validate the structural design's robustness, we employ finite element analysis (FEA) on the critical structural components using ANSYS. At the same time, ANSYS Maxwell was used to simulate and analyze the magnetic attraction, and then the magnetic attraction curves across the internal and external angles of the robot were analyzed to ensure the safety of the robot's movement. Finally, according to the design and analysis, the prototype was developed and tested, and the test results showed that the robot met the expected functions and indicators.

Authors

Institutions

Publication Details

Journal
Journal of Field Robotics
Published
2025-07-20
DOI
https://doi.org/10.1002/rob.70016
Citations
2
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
2.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Analysis of a Biomimetic Inchworm Magnetic Wall‐Climbing Robot

Enguang Guan, Baoyu Wang, Lin Zhang, Peixing Li et al.
2 citations
Journal of Field Robotics
Micro and Nano Robotics
2.52
article

Design and Analysis of a Biomimetic Inchworm Magnetic Wall‐Climbing Robot

Enguang Guan, Baoyu Wang, Lin Zhang, Peixing Li, Yiyang Zhao, Yan Xu, Peibo Li, Haifeng Ji, Yanzheng Zhao
article en
2 citations

Abstract

ABSTRACT This paper presents a biomimetic inchworm magnetic wall‐climbing robot, which meets the needs of on‐site welding, grinding, inspection, and other tasks for large steel structures. The robot is innovatively proposed by observing the movement of the inchworm, which can not only achieve the full internal corner wall adaptation between the ground and the vertical wall, and between the vertical wall and the ceiling, but also achieve the full external corner wall adaptation between the vertical wall and the roof and between the ceiling and the upper vertical wall. The mechanical behavior of the robot on vertical walls, inclined walls, ceiling, and traversing between various walls is thoroughly examined. The analysis provides essential mechanical criteria to ensure the robot's secure operation under various working conditions. To further validate the structural design's robustness, we employ finite element analysis (FEA) on the critical structural components using ANSYS. At the same time, ANSYS Maxwell was used to simulate and analyze the magnetic attraction, and then the magnetic attraction curves across the internal and external angles of the robot were analyzed to ensure the safety of the robot's movement. Finally, according to the design and analysis, the prototype was developed and tested, and the test results showed that the robot met the expected functions and indicators.

Journal of Field RoboticsVol. 42(8)
Zhejiang Sci-Tech University (CN), Shanghai University of Engineering Science (CN), Donghua University (CN), Shanghai Jiao Tong University (CN), Northeast Forestry University (CN), Shanghai Maritime University (CN)
Openalex Percentile: Top 11%
Micro and Nano Robotics
2.52
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.