Editorial: Research Topic on Intelligent Industrial Sensing, Embedded Measurement Systems, and Precision Motion-Control Technologies in Digital Manufacturing Environments
DOI:
https://doi.org/10.71204/atp0rz33Keywords:
Intelligent Manufacturing, Industrial Automation, Embedded Signal Processing, Precision Measurement, Industrial Sensing Systems, Motion ControlAbstract
The rapid evolution of intelligent manufacturing, industrial automation, digital production systems, and embedded sensing technologies is reshaping the global industrial landscape. As modern manufacturing systems continue to advance toward higher precision, stronger intelligence, and deeper digital integration, industrial sensing systems, motion-control platforms, intelligent measurement technologies, and automated quality-control architectures have become fundamental technological pillars supporting the next generation of industrial transformation. In this issue of the Journal of Computer Science and Digital Technology, we are honored to invite the research and engineering team from Hopo Technology (Ningbo) Co., Ltd. to present a series of specialized studies focusing on intelligent sensing systems, industrial automation technologies, embedded signal processing, precision measurement platforms, and industrial reliability optimization. The five research articles included in this research topic systematically investigate key technical challenges and engineering implementation methods related to magnetic grid manufacturing, precision grating measurement systems, industrial instrument optimization, intelligent encoder systems, and embedded industrial sensing architectures. These studies not only reflect practical industrial engineering experience, but also demonstrate the interdisciplinary integration of computer science, embedded systems, intelligent control, industrial communication, automation engineering, and digital manufacturing technologies. Through a combination of theoretical analysis, embedded algorithm development, system architecture optimization, industrial deployment validation, and mass-production engineering verification, the published works provide valuable technical references for intelligent manufacturing applications, industrial digitalization, and high-precision motion-control systems. This research topic highlights the increasing importance of software–hardware collaborative systems, intelligent sensing technologies, embedded signal-processing algorithms, and industrial reliability verification within the broader context of digital industrial transformation.
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Copyright (c) 2025 Guoqing Sun (Author)

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