Tag: humanoid locomotion

AI Machine Learning & Data Science Research

Robotic Marvels: Conquering San Francisco’s Streets Through Next Token Prediction

A research team from University of California, Berkeley presents a causal transformer model trained via autoregressive prediction of sensorimotor trajectories, culminating in the remarkable feat of enabling a full-sized humanoid to navigate the streets of San Francisco in a zero-shot manner.