20250205 Gibo_tro

Our work on Simulation-Aided Policy Tuning for Black-Box Robot Learning has been published in the IEEE Transactions on Robotics (T-RO) and is now available in early access.

Our new approach combines real-world & simulated data to fine-tune robot skills efficiently. See it in action: https://youtu.be/feMKxdnGXL4.