Changliu Liu

Learned robotic interaction strategies can be robustly adapted to novel contact conditions by organizing RL policies into generative sequence proposals and refining them with realization-aware manifold updates.

Quality-aware pretraining strategies, particularly approach-aware episode conditioning, can significantly outperform plain behavioral cloning in VLA tasks, with optimal choices depending on label granularity and model architecture.