Surface Stiffness Estimation using Active Strobe Imager

In this paper, we propose a method for estimating mechanical impedance of surface like skin using an Active Strobe Imager (ASI).ASI has the capability to non-contactly excite the target surface using an air jet flow, and to qualitatively observe traveling waves through strobe illumination.On the other hand, this paper shows that the surface impedance parameter can be estimated without contacting the target surface along with the visualization through ASI.We solve two problems: one is the inverse problem and the other is the forward problem.In the inverse problem, we estimate the spring constant of the target using information obtained from the measurement data.In the forward problem, we determine the surface displacement from the applied force, we compared the obtained displacement from the measurement data, demonstrating that the spring constants were correctly estimated.

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Publication Details

Journal
Proceedings of International Conference on Artificial Life and Robotics
Published
2025-02-13
DOI
https://doi.org/10.5954/icarob.2025.os15-1
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
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article

Surface Stiffness Estimation using Active Strobe Imager

T. Yamaguchi, Kensuke Harada, Koji Mizoue, Makoto Kaneko
3 links
Proceedings of International Conference on Artificial Life and Robotics
Industrial Vision Systems and Defect Detection
article

Surface Stiffness Estimation using Active Strobe Imager

T. Yamaguchi, Kensuke Harada, Koji Mizoue, Makoto Kaneko
article en

Abstract

In this paper, we propose a method for estimating mechanical impedance of surface like skin using an Active Strobe Imager (ASI).ASI has the capability to non-contactly excite the target surface using an air jet flow, and to qualitatively observe traveling waves through strobe illumination.On the other hand, this paper shows that the surface impedance parameter can be estimated without contacting the target surface along with the visualization through ASI.We solve two problems: one is the inverse problem and the other is the forward problem.In the inverse problem, we estimate the spring constant of the target using information obtained from the measurement data.In the forward problem, we determine the surface displacement from the applied force, we compared the obtained displacement from the measurement data, demonstrating that the spring constants were correctly estimated.

Proceedings of International Conference on Artificial Life and RoboticsVol. 30
The University of Osaka (JP)
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Openalex Percentile: Top 76%
Industrial Vision Systems and Defect Detection
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