Machine Learning in Robotics
Machine learning in robotics involves the integration of machine learning algorithms and techniques into robotic systems to enable them to learn from data, improve their performance, and make decisions autonomously. This field focuses on developing robots that can adapt to new environments, learn new tasks, and interact with humans in a more intelligent and efficient manner. By leveraging machine learning, robotic systems can become more versatile, adaptable, and capable of performing complex tasks with minimal human intervention.