Published Article

ABSTRACT

This study examined the role of Artificial Intelligence (AI) in self-driven cars with emphasis on the smart manufacturing of robots and sensors for prediction of problems and improvement of fuel efficiency. The study explored how AI technologies, robotics, and sensor systems are integrated into autonomous vehicles to enhance intelligent decision-making, operational safety, predictive maintenance, and sustainable transportation. The paper highlighted the concept of artificial intelligence as a system capable of performing human-like intelligent tasks such as learning, reasoning, and decision-making. It also examined self-driven cars as autonomous systems that depend on sensors, machine learning, and robotics for navigation and environmental awareness. Furthermore, the study discussed the concepts of robots and sensors as critical components of smart manufacturing systems used in modern automotive industries. The study further investigated how smart manufacturing technologies improve the production and performance of robots and sensors through automation, Internet of Things (IoT), predictive analytics, and cyber-physical systems. The study concluded that the integration of AI, robotics, and smart sensors has transformed the development and operation of self-driven cars by improving safety, reliability, predictive maintenance, and environmental sustainability. It was recommended that governments, researchers, and automotive industries should invest more in AI-driven manufacturing technologies, advanced sensor systems, and predictive analytics to further enhance the performance and fuel efficiency of autonomous vehicles.