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 mismatched action spa...