Artificial Intelligences in Industrial Robots: A Framework Based on Gardner’s Multiple Intelligences

Authors

  • Jorge A. Ruiz-Vanoye Universidad Politécnica de Pachuca
  • Ocotlán Díaz-Parra Universidad Autónoma del Estado de Hidalgo
  • Alejandro Fuentes-Penna El Colegio de Morelos
  • Eric Simancas-Acevedo Universidad Politécnica de Pachuca
  • Ricardo A. Barrera-Cámara Universidad Autónoma del Carmen

DOI:

https://doi.org/10.61467/2007.1558.2024.v15i4.536

Keywords:

Industrial Robots, Gardner’s Multiple Intelligences

Abstract

Industrial robots, both in manufacturing and non-manufacturing sectors, are evolving rapidly, driven by advancements in artificial intelligence (AI). This paper presents a comprehensive survey of industrial robots, framed through the lens of Howard Gardner’s theory of multiple intelligences. By categorising various AI capabilities in industrial robots—such as visual recognition, decision-making, and collaborative interaction—based on Gardner’s intelligence framework, we provide a novel taxonomy that bridges human cognitive abilities and artificial systems. The survey explores the historical development of industrial robots, the current state of AI implementation, and future trends in robotics. Additionally, we discuss the implications of these advancements for industries and their workforce, as well as the ethical considerations surrounding the growing autonomy of AI systems. This paper aims to serve as a reference point for researchers and professionals seeking to understand the intersection of cognitive science and industrial AI, highlighting the potential and challenges of integrating AI into robotic systems.

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Published

2024-11-04

How to Cite

Ruiz-Vanoye, J. A., Díaz-Parra, O., Fuentes-Penna, A., Simancas-Acevedo, E., & Barrera-Cámara, R. A. (2024). Artificial Intelligences in Industrial Robots: A Framework Based on Gardner’s Multiple Intelligences. International Journal of Combinatorial Optimization Problems and Informatics, 15(4), 118–129. https://doi.org/10.61467/2007.1558.2024.v15i4.536

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