There are many ways that artificial intelligence (AI) can be used to create systems that walk and move like humans. One approach is to use machine learning algorithms to automatically generate models of human walking and movement. These models can then be used to control robotic systems or to simulate human movement in computer graphics.
Another approach is to use neural networks to directly control the motion of a robot or character. This can be done by training the neural network on data describing human movement, or by directly designing the network to produce the desired motion.
Finally, large language models (LLMs) can be used to generate or control humanlike walking and movements. LLMs can learn the structure of human movement from data, and can generate new sequences of humanlike movements.
References:
https://en.wikipedia.org/wiki/Artificial_ intelligence
https://en.wikipedia.org/wiki/Machine_learning
https://en.wikipedia.org/wiki/Robotics
https://en.wikipedia.org/wiki/Computer_graphics
https://en.wikipedia.org/wiki/Neural_network
https://en.wikipedia.org/wiki/Large_language_model