Artificial Intelligence (AI) for Autonomous Drones
Purwadi Agus Darwinto, Agung Mulyo Widodo, Nilla Perdana Agustina, Kadek Dwi Wahyuadnyana, Mosiur Rahaman · Advances in computational intelligence and robotics book series · 2024
This article discusses the integration of artificial intelligence (AI) in drone systems, highlighting AI's ability to interpret data, learn, and adapt to achieve goals. AI's broad applications range from natural language processing to autonomous vehicles and industrial robotics. AI enables drones to autonomously perform tasks like takeoff, navigation, and landing, even in complex environments. The study also covers AI's role in real-time data analysis for various purposes, including security and agrotechnology. It emphasizes the importance of algorithm development and sensor data processing for drone operations, enhancing their performance, efficiency, and safety. The use of simulations in languages like C++, Python, MATLAB, and Simulink is mentioned, with specific reference to reducing chattering in Sliding Mode Control (SMC) for energy efficiency and extended flight times. The article concludes with the challenges of aligning drone design with market-available components and the successful application of AI in drone control systems.