Foundation models
Models that connect multimodal inputs, task understanding and robot action. Different systems occupy different points in the stack.
Embodied AI is not one technology. It is a stack connecting perception, reasoning, learning, data, models, control, simulation and physical machines.
Models that connect multimodal inputs, task understanding and robot action. Different systems occupy different points in the stack.
Robot bodies provide the sensors, actuators, geometry and physical constraints through which learned intelligence is expressed.
Demonstrations, teleoperation, simulation and real-world interaction provide different routes to acquiring physical skills.
Planning, whole-body control and manipulation translate goals into movements under physical and safety constraints.
Simulation and robotics infrastructure support development, evaluation and deployment workflows.
Companies and research teams work on different layers, from models and data to humanoid hardware and robotics infrastructure.
Start with a concept, move into the relevant research problem, then inspect models, organizations and robots. The relationships are informational rather than a ranking of companies, models or machines.