machine learning in robotics

Machine learning in robotics involves teaching robots to improve their performance by analyzing data and recognizing patterns, much like how humans learn from experience. Instead of following fixed instructions, robots use algorithms to adapt and make decisions based on new information. For example, a robot vacuum learns to navigate a home more efficiently over time by recognizing obstacles and adjusting its path. This allows robots to perform complex tasks, improve their skills, and operate more autonomously, making them versatile tools across various industries.