DATA-DRIVEN DYNAMICS: UNRAVELING THE POTENTIAL OF SMART ROBOTICS IN THE AGE OF BIG DATA
DOI:
https://doi.org/10.53555/eijas.v9i2.169Keywords:
Data-Driven Dynamics, Smart Robotics, Big Data Integration, Intelligent Automation, Machine Learning, Adaptive Decision-Making, Real-time Insights, Robotics Evolution, Industry Transformation, Ethical Considerations, Technological Convergence, Transformative TechnologyAbstract
This paper delves into the transformative landscape of smart robotics, exploring the dynamic synergy between advanced technologies and the wealth of information offered by big data in the contemporary era. The study navigates the intricate tapestry of Data-Driven Dynamics, where the integration of big data unravels unparalleled potential for smart robotics. The abstract underscores the pivotal role of big data in shaping the dynamics of smart robotics, illuminating its influence on adaptability, efficiency, and real-time decision-making processes. Smart robotics, equipped with advanced sensing capabilities and cognitive learning, emerges as a dynamic force capable of navigating complex scenarios and optimizing performance through the infusion of vast datasets. Through an exhaustive review of applications and case studies spanning various industries, from manufacturing and healthcare to service sectors, this paper illustrates how the data-driven dynamics transform smart robotics into agile and responsive entities. The exploration extends beyond technological dimensions, addressing ethical considerations and challenges that accompany the integration of big data into the fabric of intelligent automation.
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