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Artificial Intelligence (AI) for Autonomous Drones
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Author(s): Purwadi Agus Darwinto (Instrumentation, Control, and Optimization, Sepuluh Nopember Institute of Technology, Indonesia), Agung Mulyo Widodo (Universitas Esa Unggul, Indonesia), Nilla Perdana Agustina (Laboratorium Instrumentasi dan Pengukuran, Indonesia), Kadek Dwi Wahyuadnyana (Sepuluh Nopember Institute of Technology, Indonesia)and Mosiur Rahaman (International Center for AI and Cyber Security Research and Innovations, Asia University, Taiwan & Computer Science and Information Engineering, Asia University, Taiwan)
Copyright: 2025
Pages: 30
Source title:
AI Developments for Industrial Robotics and Intelligent Drones
Source Author(s)/Editor(s): Brij B. Gupta (Asia University, Taichung, Taiwan)and Francesco Colace (University of Salerno, Italy)
DOI: 10.4018/979-8-3693-2707-4.ch004
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Abstract
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.
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