Leveraging ChatGPT for Real-Time Decision-Making in Autonomous Systems

Abstract

The advent of autonomous systems has revolutionized industries ranging from transportation to manufacturing. One of the key challenges in autonomous systems is real-time decision-making, which requires a balance between complex data analysis and swift action. This paper explores the application of ChatGPT, a state-of-the-art language model, in addressing this challenge by leveraging its natural language understanding capabilities for real-time decision-making in autonomous systems. The paper begins by discussing the fundamental role of decision-making in autonomous systems, highlighting the need for rapid and informed choices to ensure safe and efficient operation. It then introduces ChatGPT and its unique ability to comprehend and generate human-like text. By fine-tuning ChatGPT with domain-specific data and integrating it into autonomous systems, the model can effectively interpret real-time data inputs and provide context-aware recommendations. The implications of leveraging ChatGPT for real-time decision-making are profound, as it not only streamlines decision processes but also allows for intuitive human-machine interaction. The paper concludes by highlighting the significance of collaborative research and development efforts between AI and autonomous systems experts to maximize the benefits of integrating ChatGPT into the decision-making fabric of autonomous technologies.