A Wheeled Robot Inspection System for Long‐Term Operation in Large‐Scale Industrial Environments

View at publisher
Authors: Chenpeng Yao, Chengju J. Liu, Hong Chen, Qijun J. Chen
Cited by: 1
References: 31

Abstract

ABSTRACT Robotic navigation and object detection technologies have advanced significantly. However, deploying inspection systems in large‐scale industrial environments, particularly for long‐term operations, remains challenging due to the lack of a comprehensive software and hardware platform. To address these challenges, this paper presents a wheeled robotic inspection system designed for sustained operation in large‐scale industrial settings. A novel roadmap construction method is introduced to optimize spatial structures for real‐time processing. Additionally, a feedback mechanism is proposed to ensure stable and high‐performance operation over extended periods. The system is further supported by a hardware platform that seamlessly integrates with the software framework, enhancing overall operational performance and reliability. Experimental results validate the effectiveness of the proposed method, while real‐world testing demonstrates the system's feasibility and stability for long‐term deployment. This work provides a comprehensive solution for robotic inspection in large‐scale environments, offering a practical and scalable reference for researchers and practitioners.

Fields of Study & Subjects

Robotics and Sensor-Based Localization Soft Robotics and Applications Infrastructure Maintenance and Monitoring

Publication details

Journal / source
Journal of Field Robotics
Publisher
Wiley
Volume
43
Issue
5
Pages
3578–3591
Publication date
27 March 2026
Language
EN