real-time decision making

Real-time decision-making refers to making choices based on current data and events. It requires immediate analysis and responsiveness to ensure timely and effective actions.

How does AI contribute to the development of autonomous drones and unmanned aerial vehicles (UAVs)?

AI plays a crucial role in the development of autonomous drones and unmanned aerial vehicles (UAVs). Through the use of AI algorithms and machine learning techniques, drones can effectively navigate and make decisions in real-time, leading to improved autonomy, efficiency, and safety. AI enables drones to analyze and process large amounts of data from various sensors, such as cameras and lidar, allowing them to detect and avoid obstacles, accurately land and take off, and even perform complex tasks like package delivery. Additionally, AI algorithms help drones adapt to changing environmental conditions and optimize their flight paths, leading to more efficient and economical operations.

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