How is machine learning used in robotics?
Machine learning is used in robotics to enable robots to learn from data, improve their performance, and adapt to new tasks.
Can you give me some examples of robots that use machine learning?
Sure! Examples include self-driving cars, robotic vacuum cleaners, and industrial robots that optimize their operations.
What are the challenges of integrating machine learning in robotics?
Challenges include data quality, computational power, safety concerns, and the need for real-time processing.
How does reinforcement learning work in robotics?
Reinforcement learning allows robots to learn by trial and error, receiving rewards for successful actions to improve their decision-making.
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