"Machine Learning for Robotics"

"Machine Learning for Robotics" refers to the use of advanced algorithms that enable robots to learn from data and experiences rather than being explicitly programmed for every task. This allows robots to improve their performance over time, adapt to new situations, and make decisions based on patterns they recognize. For example, a robot can learn to navigate through obstacles or recognize objects by analyzing visual data. This technology enhances the capabilities of robots in various fields, including manufacturing, healthcare, and autonomous vehicles, making them more efficient and intelligent in performing complex tasks.