# Design of a Modular Wall-Climbing Robot with Multi-Plane Transition and Cleaning Capabilities

**Authors:** Boyu Wang, Weijian Zhang, Jianghan Luo, Qingsong Xu

PMC · DOI: 10.3390/biomimetics10070450 · 2025-07-08

## TL;DR

This paper introduces a modular wall-climbing robot that can autonomously switch walls and perform tasks like cleaning.

## Contribution

The novelty lies in the modular design with quick attachment-and-disassembly and efficient wall detection for multi-plane transitions.

## Key findings

- The MC-1 robot successfully performs multi-angle wall transitions.
- It demonstrates good crawling ability and loading capacity.
- The magnetic attachment method and ultrasonic sensor enhance autonomous operation.

## Abstract

This paper presents the design and development of a new modular wall-climbing robot—Modular Wall Climbing-1 (MC-1)—for solving the problem of autonomous wall switching observed in wall-climbing robots. Each modular robot is capable of independently adhering to vertical surfaces and maneuvering, making it a fully autonomous robotic system. Multiple modules of MC-1 are connected by an electromagnet-based magnetic attachment method, and wall transitions are achieved using a servo motor mechanism. Moreover, an ultrasonic sensor is employed to measure the unknown wall-inclination angle. Mechanical analysis is conducted for MC-1 at rest individually and in combination to determine the required suction force. Experimental investigations are performed to assess the robot’s crawling ability, loading capacity, and wall-transition performance. The results demonstrate that the MC-1 robot is capable of multi-angle wall transitions for executing multiple tasks. It provides a new approach for wall-climbing robots to collaborate during wall transitions through a quick attachment-and-disassembly device and an efficient wall detection method.

## Full-text entities

- **Cell lines:** MC-1 — Canis lupus familiaris (Dog), Canine osteosarcoma, Cancer cell line (CVCL_A0XA)

## Figures

15 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12292431/full.md

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Source: https://tomesphere.com/paper/PMC12292431