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Development of 3D Printed Structure that Visualizes Bending and Compression Deformations for Soft-bodied Robots

Kohei Hanaoka, Masahiro Shimizu, Takuya Umedachi

发表年份
2021
引用次数
6

摘要

This paper presents 3D printed structure and a measurement algorithm to sense bending and compression/extension deformations for a soft-bodied robot. The proposed method utilizes a 3D printed structure painted with multiple colors to visualize the deformation. Capturing the deformation state with a cheap web camera allows us to simultaneously measure the bending and compression/extension deformations with the proposed algorithm using the image processing library, OpenCV. The experiments with the prototype demonstrate that the method successfully and easily measures the multi-modal deformation distribution. The proposed method can be a powerful tool to measure the complex and rich multi-modal deformations of soft-bodied robots and design the feedback controllers.

关键词

RobotBendingDeformation (meteorology)ModalCompression (physics)Computer scienceMeasure (data warehouse)Artificial intelligenceComputer visionExtension (predicate logic)

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