Data Analytics and Collaborative Robots in Smart Territory

摘要

The integration of collaborative robots, known as cobots, with the Internet of Things (IoT), marks a new era where everyday items seamlessly connect to the web. This convergence envisions a future where previously isolated objects gain an online presence, resulting in a significant increase in connected devices. This surge in connections generates vast amounts of data, which aligns with the expansion of big data. Data analytics for IoT within the realm of cobots involves collecting, processing, and analyzing the copious data generated by IoT devices to extract insights and inform decision-making. Cobots and other IoT devices produce various data types, ranging from structured to unstructured, originating from sources like sensors and wearables. The integration of data analytics and these intelligent devices offers numerous opportunities for advancing big data and analytics within IoT systems. This paper explores the latest advancements in big data analytics for cobots, addressing the challenges researchers that face in both IoT settings and cobots. The discussion encompasses gaps in the analytics, research methodologies, and techniques for data management. Additionally, it outlines the IoT architecture for big data analytics, taxonomy, use cases, and applications of the devices. Lastly, it concludes with an examination of opportunities and prospects in the field of IoT data analytics for cobots.