Cutting-Edge Developments in Artificial Intelligence for Autonomous Systems

Abstract

This paper investigates recent advancements in the field of autonomous systems, focusing on developments without the use of artificial intelligence (AI). It examines progress across various sectors where autonomy is crucial, such as robotics, unmanned vehicles, drones, and other intelligent platforms. Key areas explored include decision-making models based on machine learning, techniques for integrating sensor data to enhance environmental awareness, and improvements in neural networks for faster data processing. The study also addresses significant challenges like safety concerns, ethical implications, and the scalability of autonomous technologies. Future directions and potential applications are discussed to underscore the growing role of autonomous systems in enhancing operational efficiency across different industries.