Robotics
The reality gap refers to the differences between simulated environments and the real world, particularly when it comes to robotics and machine learning. This gap can lead to challenges in transferring knowledge gained from simulations to real-world applications, where factors like sensor noise, physical dynamics, and unforeseen interactions come into play. Bridging this gap is essential for improving the effectiveness of robotic systems trained in simulation before they are deployed in real environments.
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