Machine learning for robotics is a subset of artificial intelligence that focuses on enabling robots to learn from data and improve their performance over time without explicit programming. This technology allows robots to adapt to new environments, understand complex tasks, and optimize their operations by recognizing patterns and making decisions based on their experiences. By integrating machine learning, industrial robots can enhance their efficiency, accuracy, and capabilities in various applications.
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