Beyond model building, we are committed to advancing general-purpose robotics, specifically in areas like agentic reasoning, real-world understanding, action generalization, human-robot interaction, dexterity, whole-body control, and continual learning. Participate in a wide variety of research, including learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action (VLA) models, transformers, video generation, robot control, humanoid robots, and more.