Physical AI Hub
When intelligence leaves the screen and starts doing work.
Physical AI is the stack that connects models, sensors, simulation, robot bodies, data loops, and real-world deployment. RoboLogAI tracks the layers that make robots useful.Physical AI is not one robot. It is the system that makes robots economically useful.
The winners will likely combine embodied models, hardware reliability, teleoperation, simulation, safety, and deployment environments. That is why RoboLogAI tracks the full stack instead of only the most viral robot demo.
Physical AI Layers
The stack behind useful robots.
Each layer tracks signal strength, why it matters, companies to watch, and robot examples.92Signal
Embodied Models
Vision-language-action models that connect perception, instructions, memory, and robot motion.
This is the software layer that may let robots generalize across tasks instead of only repeating fixed routines.
NVIDIA · Physical Intelligence · Google DeepMind · Figure AI · OpenAI Open layer87Signal
Robot Bodies and Actuation
Motors, joints, hands, batteries, balance, and manipulation determine whether AI can do useful physical work.
Physical AI fails if the body cannot safely move, lift, grasp, balance, or operate for enough time.
Tesla · Unitree Robotics · Boston Dynamics · Agility Robotics · Apptronik Open layer