Crack Detection in Civil Infrastructure Using Autonomous Robotic Systems: A Synergistic Review of Platforms, Cognition, and Autonomous Action
Traditional manual crack inspection methods often face limitations in terms of efficiency, safety, and consistency. To overcome these issues, a new approach based on autonomous robotic systems has gained attention, combining robotics, artificial intelligence, and advanced sensing technologies. Howev...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/15/4631 |
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| author | Rong Dai Rui Wang Chang Shu Jianming Li Zhe Wei |
| author_facet | Rong Dai Rui Wang Chang Shu Jianming Li Zhe Wei |
| author_sort | Rong Dai |
| collection | DOAJ |
| description | Traditional manual crack inspection methods often face limitations in terms of efficiency, safety, and consistency. To overcome these issues, a new approach based on autonomous robotic systems has gained attention, combining robotics, artificial intelligence, and advanced sensing technologies. However, most existing reviews focus on individual components in isolation and fail to present a complete picture of how these systems work together. This study focuses on robotic crack detection and proposes a structured framework that connects three core modules: the physical platform (robots and sensors), the cognitive core (crack detection algorithms), and autonomous action (navigation and planning). We analyze key technologies, their interactions, and the challenges involved in real-world implementation. The aim is to provide a clear roadmap of current progress and future directions, helping researchers and engineers better understand the field and develop smart, deployable systems for infrastructure crack inspection. |
| format | Article |
| id | doaj-art-e03c461eacf5424d8306376be600dc38 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-e03c461eacf5424d8306376be600dc382025-08-20T03:36:23ZengMDPI AGSensors1424-82202025-07-012515463110.3390/s25154631Crack Detection in Civil Infrastructure Using Autonomous Robotic Systems: A Synergistic Review of Platforms, Cognition, and Autonomous ActionRong Dai0Rui Wang1Chang Shu2Jianming Li3Zhe Wei4School of Computer Science, Civil Aviation Flight University of China, Guanghan 618307, ChinaSchool of Computer Science, Civil Aviation Flight University of China, Guanghan 618307, ChinaSchool of Computer Science, Civil Aviation Flight University of China, Guanghan 618307, ChinaSchool of Computer Science, Civil Aviation Flight University of China, Guanghan 618307, ChinaSchool of Computer Science, Civil Aviation Flight University of China, Guanghan 618307, ChinaTraditional manual crack inspection methods often face limitations in terms of efficiency, safety, and consistency. To overcome these issues, a new approach based on autonomous robotic systems has gained attention, combining robotics, artificial intelligence, and advanced sensing technologies. However, most existing reviews focus on individual components in isolation and fail to present a complete picture of how these systems work together. This study focuses on robotic crack detection and proposes a structured framework that connects three core modules: the physical platform (robots and sensors), the cognitive core (crack detection algorithms), and autonomous action (navigation and planning). We analyze key technologies, their interactions, and the challenges involved in real-world implementation. The aim is to provide a clear roadmap of current progress and future directions, helping researchers and engineers better understand the field and develop smart, deployable systems for infrastructure crack inspection.https://www.mdpi.com/1424-8220/25/15/4631roboticsautonomous inspection crack detectioncomputer vision |
| spellingShingle | Rong Dai Rui Wang Chang Shu Jianming Li Zhe Wei Crack Detection in Civil Infrastructure Using Autonomous Robotic Systems: A Synergistic Review of Platforms, Cognition, and Autonomous Action Sensors robotics autonomous inspection crack detection computer vision |
| title | Crack Detection in Civil Infrastructure Using Autonomous Robotic Systems: A Synergistic Review of Platforms, Cognition, and Autonomous Action |
| title_full | Crack Detection in Civil Infrastructure Using Autonomous Robotic Systems: A Synergistic Review of Platforms, Cognition, and Autonomous Action |
| title_fullStr | Crack Detection in Civil Infrastructure Using Autonomous Robotic Systems: A Synergistic Review of Platforms, Cognition, and Autonomous Action |
| title_full_unstemmed | Crack Detection in Civil Infrastructure Using Autonomous Robotic Systems: A Synergistic Review of Platforms, Cognition, and Autonomous Action |
| title_short | Crack Detection in Civil Infrastructure Using Autonomous Robotic Systems: A Synergistic Review of Platforms, Cognition, and Autonomous Action |
| title_sort | crack detection in civil infrastructure using autonomous robotic systems a synergistic review of platforms cognition and autonomous action |
| topic | robotics autonomous inspection crack detection computer vision |
| url | https://www.mdpi.com/1424-8220/25/15/4631 |
| work_keys_str_mv | AT rongdai crackdetectionincivilinfrastructureusingautonomousroboticsystemsasynergisticreviewofplatformscognitionandautonomousaction AT ruiwang crackdetectionincivilinfrastructureusingautonomousroboticsystemsasynergisticreviewofplatformscognitionandautonomousaction AT changshu crackdetectionincivilinfrastructureusingautonomousroboticsystemsasynergisticreviewofplatformscognitionandautonomousaction AT jianmingli crackdetectionincivilinfrastructureusingautonomousroboticsystemsasynergisticreviewofplatformscognitionandautonomousaction AT zhewei crackdetectionincivilinfrastructureusingautonomousroboticsystemsasynergisticreviewofplatformscognitionandautonomousaction |