How to Better Train VLAs: Lessons Learned From the REAL-I Challenge at ICRA 2026
The team reports highlight the importance of adapting to the deployment environment while retaining prior capabilities, treating demonstration quality at an appropriate temporal scale, and suppressing errors in inactive robot components, and expose the limitations of offline action-prediction metrics for forecasting cl...