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Autonomous Systems

Autonomous systems are self-governing technologies that can perform tasks and make decisions without direct human intervention, using sensors, algorithms, and actuators. They encompass a broad range of applications, from robotics and self-driving vehicles to automated software agents and industrial automation. These systems rely on artificial intelligence, machine learning, and real-time data processing to adapt to their environments and achieve goals independently.

Also known as: Autonomous Technology, Self-Driving Systems, Robotic Automation, AI-Driven Systems, Autonomous Agents
🧊Why learn Autonomous Systems?

Developers should learn about autonomous systems to build intelligent applications in fields like robotics, autonomous vehicles, smart manufacturing, and IoT, where automation and decision-making are critical. This knowledge is essential for creating systems that can operate safely and efficiently in dynamic environments, reducing human error and increasing productivity. It's particularly valuable in industries pushing for automation, such as logistics, healthcare, and agriculture.

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