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Crack Detection in Civil Infrastructure Using Autonomous Robotic Systems: A Synergistic Review of Platforms,
Rong Dai1, Rui Wang1, Chang Shu1
1School of Computer Science, Civil Aviation Flight University of China, Guanghan 618307, China.
Sensors (Basel, Switzerland)
|August 14, 2025
Summary
This study introduces a structured framework for autonomous robotic crack detection, integrating physical platforms, AI algorithms, and navigation systems. It aims to improve infrastructure inspection efficiency and safety.
Area of Science:
- Engineering
- Computer Science
- Robotics
Background:
- Manual crack inspection is inefficient and unsafe.
- Existing reviews lack a holistic view of robotic crack detection systems.
Purpose of the Study:
- To propose a structured framework for robotic crack detection.
- To analyze key technologies and challenges in autonomous infrastructure inspection.
Main Methods:
- Developed a framework connecting physical platform, cognitive core, and autonomous action modules.
- Analyzed interactions between robotics, AI, and sensing technologies.
- Examined real-world implementation challenges.
Main Results:
- Identified critical components for integrated robotic crack detection systems.
- Highlighted the interplay between hardware, AI algorithms, and navigation.
- Outlined current progress and future research directions.
Conclusions:
- Autonomous robotic systems offer a promising solution for infrastructure crack inspection.
- A structured, integrated approach is crucial for developing effective systems.
- Further research is needed for smart, deployable crack detection solutions.
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