Promoting progress in inspection robot development

Humans have never made great inspectors. They can be inconsistent and inefficient. Robots, on the other hand, are emerging as highly efficient inspectors, particularly in areas that have high safety and reliability standards. Robots can be equipped with multimodal sensors, advanced identification technologies, and autonomous navigation.

Despite the numerous new technologies, there are few systematic reviews of the trends, challenges, and opportunities facing inspection robots for instruments and meters, which can inhibit progress in the field. Yang et al. present an article that summarizes the state of the field, which is rapidly developing with the integration of artificial intelligence and robotic systems.

The researchers compiled an overview of sensors employed, autonomous navigation algorithms used, and advances in instrument recognition methodologies. This includes LiDAR mapping, path planning, motion control, vision sensors, and ultrasonic sensors. They also presented a case study for one autonomous wheeled robot employed in a cement plant. The review concludes with a summary of challenges facing the field, such as multi-sensor fusion technology and the ability for a robot to adjust to diverse working conditions, and areas for future development.

“We hope this review can serve as a way to understand inspection robots for instruments and meters,” said author Lie Li. “For researchers, it will help rapidly identify research gaps, avoid redundant efforts, and inspire new investigative directions. For engineers, it will support more targeted technology selection when developing robotic solutions for diverse application scenarios.”

From the work, the researchers identified specific topics worthy of in-depth study that they intend to follow up with investigation, including inspection robot perception, instrument meter recognition algorithms, and robotic arm and visual recognition.

Source: “A Review of the development of instrument and meter inspection robot,” by Linkang Yang, Wan Ma, Wenlong Dai, Xiaoqing Zhao, Daolong Yang, Yuming Cui, and Lie Li, Review of Scientific Instruments (2025). The article can be accessed at https://doi.org/10.1063/5.0280132 .