SMART ROBOTICS: A DEEP EXPLORATION OF BIG DATA INTEGRATION FOR INTELLIGENT AUTOMATION
DOI:
https://doi.org/10.53555/eijhss.v7i4.169Keywords:
Smart Robotics, Big Data Integration, Intelligent Automation, Machine Learning, Adaptive Decision-Making, Real-time Insights, Robotics Applications, Data-Driven AutomationAbstract
The abstract highlights the pivotal role of big data integration in forging smart robotics, emphasizing its impact on decision-making processes, adaptability, and overall system intelligence. By enabling real-time data processing, this integration empowers robotic systems to transcend conventional limits, transforming them into agile, perceptive entities capable of learning and optimizing performance dynamically. Through a meticulous review of applications across diverse domains, from manufacturing and healthcare to autonomous vehicles and beyond, the paper showcases the tangible outcomes of harnessing big data in the realm of smart robotics. Real-world case studies illustrate how data-driven insights not only enhance operational efficiency but also pave the way for innovative solutions to complex challenges. In the rapidly advancing landscape of robotics, the integration of big data has emerged as a transformative force, catapulting machines into the realm of intelligent automation. This paper presents a comprehensive exploration of the synergies between smart robotics and big data, delving into the intricate ways in which the fusion of extensive datasets and advanced analytics shapes the evolution of automation.
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