HFR-Video-Based Vibration Analysis of a Multi-Jointed Robot Manipulator

As the demand for industrial robots continues to increase, monitoring robot manipulators in factory environments has become essential to ensure proper and precise operation. Unexpected vibrations can reduce the production efficiency and quality, causing financial losses, and safety risks to workers. Evaluating a robot’s vibration resistance solely through arm movements makes it challenging to accurately capture fine vibration-frequency responses using conventional methods. Traditional analyses rely on contact sensors, which are limited by the number of measurable points, and often involve high costs. In this study, we employed high-frame-rate (HFR) cameras for non-contact vibration analysis, enabling a detailed evaluation of the vibration characteristics during robot operation. By processing the 500 fps HFR video using digital image correlation, we analyzed the frequency responses of sub-pixel displacements at multiple locations and quantified changes in the vibration amplitude and phase across different parts of the robot. This approach provides a more precise understanding of fine vibration distributions and their impacts. The proposed method is accurate and can simultaneously measure multiple points.

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Publication Details

Journal
Journal of Robotics and Mechatronics
Published
2025-10-19
DOI
https://doi.org/10.20965/jrm.2025.p1205
Primary Topic
Structural Health Monitoring Techniques
Type
article
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article

HFR-Video-Based Vibration Analysis of a Multi-Jointed Robot Manipulator

Kohei Shimasaki, Idaku Ishii, Feiyue Wang, Tuniyazi Abudoureheman
Journal of Robotics and Mechatronics
Structural Health Monitoring Techniques
article

HFR-Video-Based Vibration Analysis of a Multi-Jointed Robot Manipulator

Kohei Shimasaki, Idaku Ishii, Feiyue Wang, Tuniyazi Abudoureheman
article en

Abstract

As the demand for industrial robots continues to increase, monitoring robot manipulators in factory environments has become essential to ensure proper and precise operation. Unexpected vibrations can reduce the production efficiency and quality, causing financial losses, and safety risks to workers. Evaluating a robot’s vibration resistance solely through arm movements makes it challenging to accurately capture fine vibration-frequency responses using conventional methods. Traditional analyses rely on contact sensors, which are limited by the number of measurable points, and often involve high costs. In this study, we employed high-frame-rate (HFR) cameras for non-contact vibration analysis, enabling a detailed evaluation of the vibration characteristics during robot operation. By processing the 500 fps HFR video using digital image correlation, we analyzed the frequency responses of sub-pixel displacements at multiple locations and quantified changes in the vibration amplitude and phase across different parts of the robot. This approach provides a more precise understanding of fine vibration distributions and their impacts. The proposed method is accurate and can simultaneously measure multiple points.

Journal of Robotics and MechatronicsVol. 37(5)
Hiroshima University (JP)
Openalex Percentile: Top 69%
Structural Health Monitoring Techniques
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HFR-Video-Based Vibration Analysis of a Multi-Jointed Robot Manipulator — Kohei Shimasaki, Idaku Ishii, et al. · Journal of Robotics and Mechatronics (2025) | TGRS Research Map | TGRS