Sim-to-Real

The challenge of transferring policies or models trained in simulation to real-world physical systems, where conditions inevitably differ from the simulated environment. Simulation is attractive because it is cheap, safe, and scalable, but the gap between simulated and real physics, sensors, and dynamics can cause significant performance degradation when the system is deployed in the world. Closing this gap, often through domain randomization or careful simulation design, is an active area of robotics research.