Physical AI embeds artificial intelligence in machines that can sense their surroundings, make real‑time decisions, and act in the physical world. From autonomous vehicles and warehouse robots to surgical assistants and smart‑city systems, these technologies blend sensors, computer vision, machine learning, and reinforcement learning to close the perception‑decision‑action loop. While early deployments already exist, challenges around safety, reliability, edge‑case handling, and costly real‑world training remain central as the field pushes toward broader, embodied AI applications. Read more →