Automation： 2024-2025年高引文章精选 MDPI 编辑荐读。期刊名：Automation
期刊主页：https://www.mdpi.com/journal/automation
自动化领域发展迅猛——数字孪生、协作机器人、自动驾驶、AI驱动的智能控制……哪些研究方向最受关注？我们为您精选了Automation (ISSN 2673-4052) 期刊2024-2025年的高被引论文，涵盖以下热点领域，所有文章开放获取，免费阅读。
我们为您精心整理了涵盖以下热点领域的高被引论文：
• 数字孪生工业自动化自动化制造损伤检测
• 机器人手臂协作机器人辅助机器人无人水面艇
• 自动驾驶神经网络人工智能
所有文章开放获取，免费阅读。希望这份合集能为您的科研之路注入新灵感！
【高引文章推荐】
1.Comparative Analysis: Fractional PID vs. PID Controllers for Robotic Arm Using Genetic Algorithm Optimization
比较分析：基于遗传算法优化的分数式 PID 控制器与常规 PID 控制器在机器人手臂中的应用对比研究
文章链接：https://www.mdpi.com/2673-4052/5/3/14
Eltayeb, A.; Ahmed, G.; Imran, I.H.; Alyazidi, N.M.; Abubaker, A. Comparative Analysis: Fractional PID vs. PID Controllers for Robotic Arm Using Genetic Algorithm Optimization. Automation 2024, 5, 230-245. https://doi.org/10.3390/automation5030014
2.The Role of 3D Printing in Advancing Automated Manufacturing Systems: Opportunities and Challenges
3D 打印在推动自动化制造系统发展中的作用：机遇与挑战
文章链接：https://www.mdpi.com/2673-4052/6/2/21
Kantaros, A.; Drosos, C.; Papoutsidakis, M.; Pallis, E.; Ganetsos, T. The Role of 3D Printing in Advancing Automated Manufacturing Systems: Opportunities and Challenges. Automation 2025, 6, 21. https://doi.org/10.3390/automation6020021
3.Operative Unmanned Surface Vessels (USVs): A Review of Market-Ready Solutions
可操作的无人水面艇（USV）：市场成熟解决方案综述
文章链接： https://www.mdpi.com/2673-4052/6/2/17
de Andrade, E.M.; Sales, J.S., Jr.; Fernandes, A.C. Operative Unmanned Surface Vessels (USVs): A Review of Market-Ready Solutions. Automation 2025, 6, 17. https://doi.org/10.3390/automation6020017
4.Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration
推动智能工业自动化：基于数字孪生与边缘人工智能集成的机器学习应用综述
文章链接： https://www.mdpi.com/2673-4052/6/3/37
Rahman, M.A.; Shahrior, M.F.; Iqbal, K.; Abushaiba, A.A. Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration. Automation 2025, 6, 37. https://doi.org/10.3390/automation6030037
5.Enhancing Nut-Tightening Processes in the Automotive Industry: Integration of 3D Vision Systems with Collaborative Robots
强化汽车行业的紧固工艺：将 3D 视觉系统与协作机器人相结合
文章链接： https://www.mdpi.com/2673-4052/6/1/8
Gonçalves, A.; Pereira, T.; Lopes, D.; Cunha, F.; Lopes, F.; Coutinho, F.; Barreiros, J.; Durães, J.; Santos, P.; Simões, F.; et al. Enhancing Nut-Tightening Processes in the Automotive Industry: Integration of 3D Vision Systems with Collaborative Robots. Automation 2025, 6, 8. https://doi.org/10.3390/automation6010008
6.Deep Learning-Based Detection and Segmentation of Damage in Solar Panels
基于深度学习的太阳能电池板损伤检测与分割技术
文章链接：https://www.mdpi.com/2673-4052/5/2/9
Shaik, A.; Balasundaram, A.; Kakarla, L.S.; Murugan, N. Deep Learning-Based Detection and Segmentation of Damage in Solar Panels. Automation 2024, 5, 128-150. https://doi.org/10.3390/automation5020009
7.Robotic Disassembly Platform for Disassembly of a Plug-In Hybrid Electric Vehicle Battery: A Case Study
插电式混合动力汽车电池机器人拆卸平台的实例研究
文章链接：http://www.mdpi.com/2673-4052/5/2/5
Qu, M.; Pham, D.T.; Altumi, F.; Gbadebo, A.; Hartono, N.; Jiang, K.; Kerin, M.; Lan, F.; Micheli, M.; Xu, S.; et al. Robotic Disassembly Platform for Disassembly of a Plug-In Hybrid Electric Vehicle Battery: A Case Study. Automation 2024, 5, 50–67. https://doi.org/10.3390/automation5020005
8.Leveraging Multimodal Large Language Models (MLLMs) for Enhanced Object Detection and Scene Understanding in Thermal Images for Autonomous Driving Systems
利用多模态大语言模型（MLLMs）增强自动驾驶系统热图像中的目标检测和场景理解
文章链接：http://www.mdpi.com/2673-4052/5/4/29
Ashqar, H.I.; Alhadidi, T.I.; Elhenawy, M.; Khanfar, N.O. Leveraging Multimodal Large Language Models (MLLMs) for Enhanced Object Detection and Scene Understanding in Thermal Images for Autonomous Driving Systems. Automation 2024, 5, 508–526. https://doi.org/10.3390/automation5040029
9.Virtual Commissioning of Linked Cells Using Digital Models in an Industrial Metaverse
基于工业元宇宙数字模型的关联生产单元虚拟调试
文章链接：http://www.mdpi.com/2673-4052/5/1/1
Ullrich, M.; Thalappully, R.; Heieck, F.; Lüdemann-Ravit, B. Virtual Commissioning of Linked Cells Using Digital Models in an Industrial Metaverse. Automation 2024, 5, 1–12. https://doi.org/10.3390/automation5010001.
10.Vision-Based Object Manipulation for Activities of Daily Living Assistance Using Assistive Robot
基于视觉的辅助机器人日常活动对象操作
文章链接：http://www.mdpi.com/2673-4052/5/2/6
Shahria, M.T.; Ghommam, J.; Fareh, R.; Rahman, M.H. Vision-Based Object Manipulation for Activities of Daily Living Assistance Using Assistive Robot. Automation 2024, 5, 68–89. https://doi.org/10.3390/automation5020006.
【投稿邀请】
我们诚邀活跃于本领域、积极投身于前沿研究的学者踊跃投稿，如有意向，敬请不吝联系Automation编辑部 (automation@mdpi.com)。
【期刊简介】
主编：Eyad H. Abed, University of Maryland, USA
Automation (ISSN 2673-4052) 是一本国际性的、经过同行评审的开放获取期刊。期刊主要发表自动化、控制及相关领域的高质量论文。期刊旨在提供高知名度和及时的研究成果，并致力于快速出版。该期刊为自动化、控制及其应用的专业和多学科研究提供了一个平台。Automation 创刊于2020年；2023年被Scopus数据库收录，2024年被ESCI数据库收录；2025年获得首个影响因子2.0。
2024 Impact Factor 2.0 2024 CiteScore 4.1 Time to First Decision 30.9Days Acceptance to Publication 8.5Days
来源：Automation
