Explainers
A maintained glossary of physical AI terms — world models, VLA, sim-to-real, embodied AI — explained clearly and kept current as the field moves.
Sim-to-Real (Sim2Real)
Training a robot's AI in simulation, then transferring what it learned to work on real hardware — and the two main techniques (domain randomization, system identification) used to close the "reality gap."
World Model
An AI's internal, learned simulation of how the world changes in response to actions — used to plan and predict before acting, instead of only via trial and error.
Embodied AI
AI agents that learn and act through a body — physical or simulated — the broader research lineage behind physical AI, rooted in Rodney Brooks' 1980s critique of disembodied AI.
Physical AI
AI that perceives, reasons, and acts in the physical world through robots and autonomous machines — and why NVIDIA calls it the next wave after generative AI.