Humanoid Locomotion, Machine Learning, Transformers, Artificial Intelligence, Robotics.
findings underscore a promising avenue for addressing complex real-world robot control tasks through the generative modeling of extensive sensorimotor trajectory datasets. By leveraging the principles of autoregressive prediction within a causal transformer framework, this research opens new