Generalizing from simulation

1. 1Train robot controllers in simulation using the new techniques
2. 2Deploy the trained controllers on physical robots
3. 3Test the robots' ability to react to unplanned changes in the environment
4. 4Refine the techniques based on the results

Robotics engineers and AI researchers on a team can benefit from this development as it allows for more flexible and autonomous robot control, and can be applied to various real-world scenarios

💡 Simulation-trained robots can be made to react to unplanned environmental changes, improving their autonomy and flexibility

🤖 Robots can now adapt to unexpected changes after sim-based training!