What are the applications of machine learning in robotics?

What are the applications of machine learning in robotics?

Machine learning is used in robotics for tasks like perception, navigation, and decision-making. For example, robots can learn to recognize objects, navigate complex environments, and adapt to new situations.

Can you give me some specific examples of robots using machine learning?

Sure! For instance, autonomous vehicles use ML for obstacle detection and path planning. Industrial robots use it for quality control and predictive maintenance.

How does machine learning improve robot perception?

Machine learning enhances robot perception by enabling them to process and interpret sensory data, like images and sounds, allowing for better object recognition and environmental understanding.

What challenges do robots face when using machine learning?

Some challenges include data quality, the need for large datasets, real-time processing requirements, and ensuring safety and reliability in unpredictable environments.