The Impact of Mechanical Arm Applications on Industrial Intelligent Transformation
- 1 Wenzhou University, Wenzhou, China
* Author to whom correspondence should be addressed.
Abstract
This paper investigates the critical impact of industrial robotic arms on the shift towards intelligent manufacturing, a transition defined by Industry 4.0. We explore the ways in which these arms, characterized by their growing flexibility and accuracy, are transforming smart manufacturing by boosting productivity, safety, and comfort in the workplace. Our research covers the historical development of robotic arm technology, its significant improvements, and its use in diverse fields such as factory automation, space missions, medical operations, and agriculture. We evaluate how robotic arms influence the intelligent transformation of businesses, emphasizing their role in economic growth, eco-friendly practices, and the move to digital operations. The paper points out areas where further research is needed, especially regarding precision agriculture and cross-disciplinary studies, and proposes solutions to bridge these gaps. We also discuss a successful example of heavy-duty robots in car manufacturing and how government policies can drive intelligent transformation. Our findings highlight the importance of robotic arms in the evolution of smart manufacturing and stress the importance of ongoing innovation and the adoption of these technologies.
Keywords
Robotic Arms, Intelligent Transformation, Smart manufacturing, Economic Growth, Sustainability
[1]. Peres R S, Jia X, Lee J, et al. Industrial artificial intelligence in industry 4.0-systematic review, challenges and outlook[J]. IEEE access, 2020, 8: 220121-220139.
[2]. Gautam R, Gedam A, Zade A, et al. Review on development of industrial robotic arm[J]. International Research Journal of Engineering and Technology (IRJET), 2017, 4(03): 429.
[3]. Almurib H A F, Al-Qrimli H F, Kumar N. A review of application industrial robotic design[C]//2011 Ninth International Conference on ICT and Knowledge Engineering. IEEE, 2012: 105-112.
[4]. De Looze M P, Bosch T, Krause F, et al. Exoskeletons for industrial application and their potential effects on physical work load[J]. Ergonomics, 2016, 59(5): 671-681.
[5]. Jeschke S, Brecher C, Meisen T, et al. Industrial internet of things and cyber manufacturing systems[M]. Springer International Publishing, 2017.
[6]. Moran M E. Evolution of robotic arms[J]. Journal of robotic surgery, 2007, 1(2): 103-111.
[7]. Jin T, Han X. Robotic arms in precision agriculture: A comprehensive review of the technologies, applications, challenges, and future prospects[J]. Computers and Electronics in Agriculture, 2024, 221: 108938.
[8]. Mechanical design and control of inflatable robotic arms for high positioning accuracy
[9]. Pierrot F, Dombre E, Dégoulange E, et al. Hippocrate: A safe robot arm for medical applications with force feedback[J]. Medical Image Analysis, 1999, 3(3): 285-300.
[10]. Oztemel E, Gursev S. Literature review of Industry 4.0 and related technologies[J]. Journal of intelligent manufacturing, 2020, 31(1): 127-182.
[11]. Barbosa W S, Gioia M M, Natividade V G, et al. Industry 4.0: examples of the use of the robotic arm for digital manufacturing processes[J]. International Journal on Interactive Design and Manufacturing (IJIDeM), 2020, 14: 1569-1575.
[12]. Javaid M, Haleem A, Singh R P, et al. Substantial capabilities of robotics in enhancing industry 4.0 implementation[J]. Cognitive Robotics, 2021, 1: 58-75.
[13]. Chen S, Jefferson G H, Zhang J. Structural change, productivity growth and industrial transformation in China[J]. China Economic Review, 2011, 22(1): 133-150.
[14]. Siderska J. Robotic Process Automation—a driver of digital transformation? [J]. Engineering Management in Production and Services, 2020, 12(2): 21-31.
[15]. Guenat S, Purnell P, Davies Z G, et al. Meeting sustainable development goals via robotics and autonomous systems[J]. Nature communications, 2022, 13(1): 3559.
[16]. Long G, Duan D, Wang H, et al. The impact of industrial robots on low-carbon green performance: Evidence from the belt and road initiative countries[J]. Technology in Society, 2024, 79: 102712.
[17]. Zelin H, PengCheng J. Digital Low-carbon Road: Industrial Robots and Urban Industrial Carbon Emissions[J]. Journal of Finance and Economics, 2023, 49(10): 34-48.
[18]. Licardo J T, Domjan M, Orehovački T. Intelligent robotics—A systematic review of emerging technologies and trends[J]. Electronics, 2024, 13(3): 542.
[19]. Andronas D, Kampourakis E, Papadopoulos G, et al. Towards seamless collaboration of humans and high-payload robots: An automotive case study[J]. Robotics and Computer-Integrated Manufacturing, 2023, 83: 102544.
Cite this article
Zhang,Y. (2025). The Impact of Mechanical Arm Applications on Industrial Intelligent Transformation. Applied and Computational Engineering,148,19-25.
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Volume title: Proceedings of the 3rd International Conference on Mechatronics and Smart Systems
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