Robotic Learning Part 3: The Reality Gap
Imagine teaching a robot to pick up a coffee cup in a simulation or video game. In this perfect virtual world, the cup’s weight is precisely known, the lighting is consistent, and the robot’s sensors provide exact measurements. Now try the same task in the real world. The cup might be heavier than expected, it’s surface more slippery, the lighting creating unexpected shadows, and the robot’s sensors noisy. This disconnect between simulation and reality, known as the reality gap, is a fundamental challenge in robotic learning....