<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v8i3.7197</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on the Design and Application of Virtual and Real Integrated Training Platform Based on Intelligent Manufacturing</title><url>https://artdesignp.com/journal/JERA/8/3/10.26689/jera.v8i3.7197</url><author>LiuXiayun,LiDakang,LiangXuan,WuLingfang</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>8</volume><issue>3</issue><history><date date-type="pub"><published-time>2024-06-14</published-time></date></history><abstract>In this paper, we built a robot training platform using virtual simulation software, and the robot assembly, handling, and palletizing were realized. The workstation includes an industrial robot, gas control unit, track function module, assembly function module, palletizing function module, vision module, etc., and robot movement is achieved through language programming. The platform provides conditions for the practical ability training of application-oriented talents.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Cang L, Xie Y, Zhang Y, 2021, Strategic Focus and Policy Suggestions of Global Science and Technology Development During the 14th Five-Year Plan Period. Robot Industry, 2021(3): 12–15.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Xia X, 2022, The “14th Five-Year Plan” for Robot Industry Development. Manufacturing and Upgrading Today, 2022(1): 8–9.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Fang X, 2021, Opportunities, Challenges and Countermeasures for High-Quality Development of Robot Industry During the “14th Five-Year Plan” Period. Development Research, 2021(2): 56–67.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Wei J, Gu N, Wei D, 2022, Industrial Robots and Regional Development Gap in China’s Manufacturing Industry: Late Mover Advantage or First Mover Advantage? Economic and Management Research, 43(1): 59–71.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Li S, Zhao P, Xie G, et al., 2021, Analysis of Establishing Intelligent Robot Application Engineering Major in Vocational Education Colleges. Modern Vocational Education, 2021(30): 174–175.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Zhu S, Gao Z, 2021, Design research of Robot Online Grinding Workstation Based on RobotStudio. Manufacturing Technology &amp; Machine Tool, 2021(8): 97–102.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Zhang H, Zhang L, 2022, Design of Offline Programming and Virtual Simulation System for Robot Assembly Workstation. Automation &amp; Instrumentation, 37(6): 28–32.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Liu Y, Li C, Li J, et al., 2021, Research on Simulation and Design of Multi-Robot Workstation Control System. Computer Measurement and Control, 29(11): 100–104.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Gao M, Wang H, Cong Z, et al., 2020, Research on Robot Palletizing Optimization Based on RobotStudio. Modular Machine Tool &amp; Automatic Processing Technology, 2020(11): 38–41.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Wang B, Sun C, Yin Y, et al., 2023, Research and Development of Industrial Robot and Machine Vision Training Platform Based on Intelligent Manufacturing. China Modern Educational Equipment, 2023(15):49-51.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B11" content-type="article"><label>11</label><element-citation publication-type="journal"><p>Chen H, Yu D, Liang F, et al., 2022, Research on Modular Reconfigurable Hardware System of Industrial Robot Training Platform. Machine Building &amp; Automation, 51(5): 149–151.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B12" content-type="article"><label>12</label><element-citation publication-type="journal"><p>Zhang Y, Xia B, 2023, Research on the Application of Digital Twin Virtual Simulation Platform in Remote Practical Teaching of Open Education: A Case Study of Smart robot arm. Journal of Guizhou Open University, 31(3): 1–5.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B13" content-type="article"><label>13</label><element-citation publication-type="journal"><p>Liu X, Zuo F, Zhang J, et al., 2019, Automated Experiment Teaching Reform Practice for Complex Engineering Problems Under the Background of New Engineering. Laboratory Research and Exploration, 39(9): 188–191.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B14" content-type="article"><label>14</label><element-citation publication-type="journal"><p>Yang Y, Li J, Liu S, et al., Research and Practice of Artificial Intelligence Robot Training Platform for Engineering Training. China Modern Educational Equipment, 2024(1): 70–72.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B15" content-type="article"><label>15</label><element-citation publication-type="journal"><p>Zhu H, Li Q, 2024, Construction and Optimal Design of Network Communication Training Platform for Urban Rail Vehicles. Wireless Internet Technology, 21(1): 34–37.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
