BIG DATA ANALYTICS IN ROBOTICS: UNLEASHING THE POTENTIAL FOR INTELLIGENT AUTOMATION
DOI:
https://doi.org/10.53555/eijbms.v8i4.155Keywords:
Big Data, Robotics, Intelligent Automation, Data Analytics, Automation, Machine Learning, Artificial Intelligence, Decision-Making, Adaptability, Performance OptimizationAbstract
This research paper delves into the intersection of Big Data analytics and robotics, exploring the synergies that unfold when these two transformative technologies converge. In the era of Industry 4.0, where intelligent automation is becoming a cornerstone for efficiency and innovation, the incorporation of Big Data into robotics holds the promise of unlocking unprecedented potential. The paper navigates through the intricate web of applications, challenges, and opportunities that arise as robotics harnesses the power of vast and complex datasets. The study investigates how Big Data analytics empowers robots to make informed decisions, adapt to dynamic environments, and enhance their overall performance. It explores the integration of advanced analytics, machine learning algorithms, and real-time data processing to augment the capabilities of robotic systems. Through a comprehensive review of existing literature and case studies, the paper highlights successful implementations and showcases the transformative impact of Big Data on various aspects of robotics, including perception, decision-making, and autonomous navigation. The abstract delves into the synergy between big data and robotics, emphasizing the augmentation of decision-making processes and the evolution of machine learning algorithms.
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