Reinforcement Learning

AI robots are mastering complex tasks through reinforcement learning, a technique where they learn by trial and error, much like how humans learn. This has led to remarkable progress in robot locomotion and dexterity.

Computer Vision

Robots equipped with advanced computer vision can recognize objects, detect obstacles, and navigate through complex environments with high precision. This technology is crucial for autonomous vehicles and drones.

Natural Language Processing

Language models like GPT-3 have enabled robots to understand and generate human language. This is invaluable in applications like customer service and companionship robots.

Human-Robot Interaction

Researchers are making strides in developing robots that can understand and respond to human emotions, enhancing their ability to work alongside people in various environments.