Robotic Process Automation to Autonomous Bots: A Survey on the Integration of Artificial Intelligence into Robotic Process Automation

Abstract

Robotic Process Automation (RPA) has established its position as an innovative framework for simplifying repetitive and rule-based procedural tasks throughout the industrial sector. Traditional RPA systems face limitations because they cannot adjust or exhibit cognitive capabilities. The combination of Artificial Intelligence (AI) technology with RPA systems produced Intelligent Automation, which gives bots the ability to detect, think, learn, and make independent decisions. A review paper examines how RPA systems progressed into AI-powered RPA systems by examining major technological developments, obstacles, and modern patterns. The review paper dedicates specific attention to cognitive abilities in RPA through discussions about machine learning, natural language processing, computer vision, and reinforcement learning frameworks. The study analyzes the constraints of contemporary solutions and sets research priorities for creating self-healing bots with complete autonomy. The paper merges academic research with industrial approaches to deliver an extensive guidance system that benefits researchers and practitioners who aim to advance present-day intelligent automation systems.