DexHiL: A Human-in-the-Loop Framework for Vision-Language-Action Model Post-Training in Dexterous Manipulation

Researchers introduce DexHiL, a human-in-the-loop framework for improving Vision-Language-Action models in robotic dexterous manipulation tasks. The system allows real-time human corrections during robot execution and demonstrates 25% better success rates compared to standard offline training methods.