Advancements in Robotics Process Automation: A Novel Model with Enhanced Empirical Validation and Theoretical Insights

Pandy, Gokul, Jayaram, Vivekananda, Krishnappa, Manjunatha Sughaturu, Ingole, Balaji Shesharao, Ganeeb, Koushik Kumar, Joseph, Shenson

arXiv.org Artificial Intelligence 

Abstract: Robotics Process Automation (RPA) is revolutionizing business operations by significantly enhancing efficiency, productivity, and operational excellence across various industries. This manuscript delivers a comprehensive review of recent advancements in RPA technologies and proposes a novel model designed to elevate RPA capabilities. Incorporating cutting-edge artificial intelligence (AI) techniques, advanced machine learning algorithms, and strategic integration frameworks, the proposed model aims to push RPA's boundaries. The paper includes a detailed analysis of functionalities, implementation strategies, and expanded empirical validation through rigorous testing across multiple industries. Theoretical insights underpin the model's design, offering a robust framework for its application.

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