Artificial Intelligence in Autonomous Systems: Applications, Challenges, and Future Directions
Keywords:
Artificial intelligence, Autonomous system, Computer vision, Deep learning, Self-driving carsAbstract
Autonomous systems, driven by rapid advancements in Artificial Intelligence (AI), are transforming industries by enabling machines to work on their own, make decisions, and engage with their surroundings without needing human input. This paper delves into the growth, applications, challenges, and future trends of autonomous systems, highlighting the crucial role of AI technologies like machine learning, computer vision, and sensor integration. It looks at how these systems are reshaping sectors such as transportation (e.g., self-driving cars), logistics, manufacturing, and healthcare, by enhancing efficiency, safety, and scalability. However, despite their immense potential, these systems still face major hurdles, such as reliability issues, ethical dilemmas, regulatory concerns, and the need to build public trust. The paper also covers the evolving development of AI algorithms and sensor technologies, and the importance of interdisciplinary collaboration to tackle these challenges. Through a thorough examination of both the opportunities and limitations of autonomous systems, this research aims to provide valuable insights into the future of intelligent, self-operating machines and their impact on society.
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