Embodied AI enables robots and drones to interact with the real world through sensors and machine learning

Embodied AI is a type of artificial intelligence that allows robots and drones to interact with the real world. It combines sensors and machine learning to respond to real-time data, enabling applications like self-driving cars and robotic vacuum cleaners. The technology has roots dating back to the 1950s but has gained traction in recent years. Unlike traditional AI, which relies on large data sets, embodied AI learns from its physical experiences, using various sensory inputs to navigate and identify objects. A key feature of embodied AI is its world model, which helps it understand its environment. This model evolves through methods like reinforcement learning and active inference, allowing the system to adapt and improve its responses based on real-time data.