Physical & Embodied AI Foundations
What separates physical AI from a chatbot — embodiment, world models, vision-language-action models, sim-to-real transfer, and the sensor stack that lets a machine act in the real world.
What Is Physical AI? A Field Guide to Embodied Intelligence in 2026
Physical AI (embodied AI) is intelligence that senses, plans and acts in the real world. What it is, how it differs from chatbots, and where it stands in 2026.
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01Physical AI vs Embodied AI – differences, stack and real deployments (2026)Physical AI, embodied AI and generative AI are not the same thing. The differences in one table, the full physical AI stack from simulation to edge compute with a labelled diagram, and who is actually deploying it in 2026.02The Robot Sensor Stack: How Cameras, Lidar, and Touch Become One State EstimateHow the robot sensor stack fuses cameras, lidar, force-torque, proprioception and tactile sensing into a single state estimate a policy can act on.03Sim-to-Real Transfer: Crossing the Reality Gap from Simulation to HardwareSim-to-real transfer trains a robot policy in simulation, then deploys it on hardware. How domain randomization closes the reality gap, and why demos mislead.04Vision-Language-Action (VLA) Models Explained: How One Model Turns Cameras and Words Into Robot MotionA field briefing on vision-language-action (VLA) models: how one robotics foundation model turns a camera feed and an instruction into robot motor commands.