Generalizing from simulation
OpenAI Blog
Researchers developed methods to train robot controllers in simulation that can then operate effectively on physical robots while adapting to unexpected environmental changes. The systems now use closed-loop control rather than open-loop control, allowing real-time feedback and adjustment during task execution. This enables robots trained entirely in simulation to handle dynamic conditions without retraining when deployed on actual hardware.
Why it matters
Our latest robotics techniques allow robot controllers, trained entirely in simulation and deployed on physical robots, to react to unplanned changes in the environment as they solve simple tasks. That is, we’ve used these techniques to build closed-loop systems rather than open-loop ones as before.