A classification of industrial robots from the literature in 2024

Authors

  • Ana Julia Dal Forno Universidade Federal de Santa Catarina - campus Blumenau
  • Júlio Universidade Federal de Santa Catarina - campus Blumenau
  • Prof. Dr. Tezza Universidade do Estado de Santa Catarina - UDESC Florianópolis

Keywords:

industry 4.0, robotic, emerging technologies, systematic literature review

Abstract

This article aimed to classify the robots present in the industrial environment, identify trends and their applications. For this, the systematic literature review methodology was used, in which 54 publications from 2024 were analyzed. Industrial robots were classified into ten types (cobot, mobile, inspection and monitoring, manipulation, agricultural, drones, service, autonomous and holoportation). The results showed that China is ahead in production and development in robotics, as it has 52% of the industrial robots installed in the world, but there are also the United States and Germany that stood out in robotics research, evidencing the relationship between industrial strength and the volume of academic research. The types of robots identified were collaborative robots, industrial robots, mobile robots, inspection robots and agricultural robots, and each demonstrated great potential for application in industrial processes. Furthermore, the assessment of auxiliary technologies, such as artificial intelligence (AI) and the Internet of Things (IoT), indicates a growing convergence of these innovations, which have enhanced robotic capabilities and represent new challenges for their insertion into industrial operations. These results reinforce the need for a better understanding of strategies for the adoption and development of technology, especially in countries that are not represented in this sector, such as Brazil, which faces major challenges in its insertion into the global robotics environment.

Author Biographies

  • Ana Julia Dal Forno, Universidade Federal de Santa Catarina - campus Blumenau

    Ana Julia é Professora Associada na Universidade Federal de Catarina (UFSC) - campus Blumenau, Departamento de Engenharia Têxtil.Leciona na graduação em Engenharia de Materiais, Têxtil e Automação; também leciona no PGETEX - Programa de Pós Graduação em Engenharia Têxtil (2019). Realizou o Pós Doutorado em Engenharia de Produção (UFSC-2014), na qual também é Doutora pela mesma Universidade e fez Sandwich pela Technische Universität Berlin (TUB - Alemanha). Mestre em Engenharia de Produção pela UFSC (2008). Graduação em Engenharia de Produção (UNISC-2004).Foco da pesquisa: Gestão da Inovação, Benchmarking, Manufatura Enxuta, Melhoria de Processos. Lean e Indústria 4.0.Grupos de Pesquisa certificados: Desenvolvimento de Processos e Produtos Têxteis e LabTEI - Laboratório de Tecnologia, Empreendedorismo e Inovação.

  • Júlio, Universidade Federal de Santa Catarina - campus Blumenau

    Julio é estudante de Engenharia de Controle e Automação da Universidade Federal de Santa Catarina - campus Blumenau e bolsista e iniciação científica PIBIC/CNPq.

  • Prof. Dr. Tezza, Universidade do Estado de Santa Catarina - UDESC Florianópolis

    Rafael Tezza is Full Professor and researcher at the Department of Business Administration (ESAG/UDESC), of the Postgraduate Program in Administration (ESAG/UDESC) and of the Postgraduate Program in Methods and Management in Evaluation (INE/UFSC). Coordinator of the Stricto Sensu Academic Postgraduate Program in Administration (ESAG/UDESC) since 2024. He researches the following topics: E-commerce, M-commerce, M-banking, Multivariate Statistics Applied to Management, Big Data, Smart Cities, Item Response Theory and Decision Making.

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Published

2025-09-30

Issue

Vol. 15 No. 1 (2025): Revista Eletrônica e-Fatec

Section

Artigos