As foundational AI models transition from digital environments into the physical world, robotics faces a massive paradigm shift. This panel will explore the critical layers required to achieve true robotic autonomy and generalized utility. By anchoring the conversation around Google DeepMind’s (GDM) research pillars, the discussion will bridge the gap between cutting-edge AI theory and real-world deployment. The conversation will move through a cohesive narrative arc: from how an individual robot senses and physically manipulates its immediate surroundings, to how machines understand and map complex, changing enterprise environments, to how autonomous fleets are orchestrated in the most extreme, unpredictable environments on Earth.