<ul><li>Supervised learning involves training models on labeled datasets, where each input is paired with the correct output.</li><li>Unsupervised learning deals with unlabeled data, allowing robots to autonomously detect patterns or groupings.</li><li>Reinforcement learning focuses on training agents through trial and error, where they receive feedback based on their actions.</li><li>Deep learning utilizes neural networks with multiple layers to model complex patterns in large datasets.</li></ul>

Machine Learning Algorithms used in Robotics

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