Big Data and Artificial Intelligence in Robotics: An Examination of their Role, Impact, and Future Directions

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Aileen Bautista

Abstract

 The integration of Big Data and Artificial Intelligence (AI) into robotics has marked a pivotal shift in the capabilities, applications, and development trajectory of robotic systems. This paper delves into the synergistic relationship between Big Data, AI, and robotics, exploring how these technologies collectively enhance the functionality, autonomy, and intelligence of robots. By examining the current state of technology, this study highlights the transformative role of Big Data and AI in robotics, their impact on various sectors including healthcare, manufacturing, and service industries, and the potential challenges and future directions in this dynamic field. Through a comprehensive review of recent advancements, case studies, and theoretical models, this paper aims to provide insights into the intricate dynamics of Big Data and AI in robotics, underscoring the significant implications for innovation, efficiency, and societal integration. The convergence of these technologies promises to not only redefine the landscape of robotic capabilities but also to pave the way for novel applications and ethical considerations in the age of automation and digital intelligence.

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How to Cite
Bautista, A. (2024). Big Data and Artificial Intelligence in Robotics: An Examination of their Role, Impact, and Future Directions. Journal of Sustainable Technologies and Infrastructure Planning, 8(3), 1–12. Retrieved from https://publications.dlpress.org/index.php/JSTIP/article/view/89
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Articles