How are neural networks used in robotics?

How are neural networks used in robotics?

Neural networks are used in robotics for tasks like perception, decision-making, and control. They help robots learn from data.

Can you give an example of a robot that uses neural networks?

Sure! Self-driving cars use neural networks for object detection and navigation, allowing them to interpret their surroundings.

What are the benefits of using neural networks in robots?

The benefits include improved accuracy, adaptability to new environments, and the ability to process complex data efficiently.

Are there any limitations to using neural networks in robotics?

Yes, limitations include the need for large datasets, potential overfitting, and challenges in real-time processing.

How do neural networks compare to traditional programming in robotics?

Neural networks can learn from data and adapt, while traditional programming relies on predefined rules, making neural networks more flexible.