Which aspect of AI involves creating automated systems that can perform complex tasks?

The aspect of AI that involves creating automated systems capable of performing complex tasks is robotics. Robotics is the field that combines AI techniques with other technologies to build machines that can carry out tasks autonomously or semi-autonomously. This encompasses a wide range of applications, from manufacturing robots that assemble products to autonomous vehicles that navigate traffic.

In robotics, AI algorithms are often employed to process sensory information, make decisions, and control movements, enabling robots to perform intricate tasks that usually require human intelligence. This includes real-time navigation, object recognition, and interaction with the environment.

While natural language processing, machine learning, and deep learning are all important components of AI, they primarily focus on different types of tasks and problem-solving techniques. Natural language processing deals specifically with the interaction between computers and human languages, machine learning focuses on algorithms that enable computers to learn from and make predictions based on data, and deep learning is a subset of machine learning that uses neural networks to model complex patterns in data. While these technologies can be applied in the context of robotics, it is the field of robotics itself that encompasses the automation of complex physical tasks.