Physical AI - Page 2

Physical AI refers to artificial intelligence systems that perceive, reason, and act in the physical world through sensors, actuators, and embodied control. Unlike purely digital AI, Physical AI connects software intelligence with real-world interaction, enabling robots, autonomous machines, and smart devices to move, manipulate objects, and respond to dynamic environments. This topic covers perception, motion planning, control systems, and learning-based behaviors used in robotics, autonomous vehicles, and industrial automation. It also explores simulation, digital twins, and real-world training methods that bridge the gap between virtual models and physical execution. As AI increasingly leaves the screen and enters the real world, Physical AI represents a critical foundation for scalable, intelligent machines operating outside controlled environments.