Abstract
The goals of Industry 4.0 are to achieve a higher level of operational efficiency and productivity, as well as a higher level of automatization. Also, the measurement at the nano-level on the surface of the target object by a machine has been considered for automation, but there are problems such as the need for high cost and a large amount of time for measurement. In this paper, we propose a robot vision system based on an intelligent algorithm for recognizing micro-roughness on arbitrary surfaces. The proposed system is inexpensive, make quick measurement and is capable of autonomously recognizing micro-roughness to improve the efficiency of production processes.
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This work was supported by JSPS KAKENHI Grant Number 20K19793.
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Yukawa, C. et al. (2022). Evaluation of a Fuzzy-Based Robotic Vision System for Recognizing Micro-roughness on Arbitrary Surfaces: A Comparison Study for Vibration Reduction of Robot Arm. In: Barolli, L., Miwa, H., Enokido, T. (eds) Advances in Network-Based Information Systems. NBiS 2022. Lecture Notes in Networks and Systems, vol 526. Springer, Cham. https://doi.org/10.1007/978-3-031-14314-4_23
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