Nanjing Normal University Yancheng Experimental School, Nanjing, Jiangsu Province, China
Email: 2948721435@qq.com (H.W.Z.)
Manuscript received December 3, 2024; revised January 14, 2025; accepted February 7, 2025; published February 25, 2025.
Abstract—Industry 4.0 also known as the fourth revolution is a new era in which industry will deal with technologies like Robotics, Automation, Artificial Intelligence (AI), and many more [1]. We introduce the concept of robots and their practical uses in daily life, highlighting their basic functions. The main text covers the history of robotics, the applicable environment, and the difference between traditional technology and automated robots. It also explains the advancement of machine learning and its impact on robotics. Common techniques used in robotics, such as Support Vector Machine (SVM), K-Nearest Neighbors Algorithm (KNN), and Random Forest, are explained. The text introduces Deep Learning and the context in which it operates. This is followed by a discussion on the advantages and disadvantages of machine learning and deep learning, along with the benefits of combining the two, as well as strategies for avoiding their disadvantages.
Keywords—Machine Learning (ML), Deep Learning (DL), Support Vector Machine (SVM), K-Nearest Neighbors Algorithm (KNN), random forest
Cite: Hangwen Zhang, "Artificial Intelligence Based Robot Technology in Automation Industry,"
International Journal of Engineering and Technology, vol. 17, no. 1, pp. 62-69, 2025.
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
