Latent Policy Steering: An Efficient and Flexible Framework for Cross-Embodiment Transfer

The performance of learned robot visuomotor policies depends heavily on the size and quality of their training data, yet collecting high-quality demonstrations remains costly for robots in the real world. Although large-scale robot and human datasets are increasingly available, embodiment gaps and m