Landscape / Reference

A map of embodied intelligence.

Embodied AI is not one technology. It is a stack connecting perception, reasoning, learning, data, models, control, simulation and physical machines.

Visual map connecting research, data, models, planning, control and robots in embodied AI
01 · Intelligence

Foundation models

Models that connect multimodal inputs, task understanding and robot action. Different systems occupy different points in the stack.

02 · Embodiment

Physical platforms

Robot bodies provide the sensors, actuators, geometry and physical constraints through which learned intelligence is expressed.

04 · Execution

Control & manipulation

Planning, whole-body control and manipulation translate goals into movements under physical and safety constraints.

06 · Ecosystem

Organizations

Companies and research teams work on different layers, from models and data to humanoid hardware and robotics infrastructure.

How to use this map

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.