In robotic tasks, changes in reference frames typically do not influence...
Learning about the three-dimensional world from two-dimensional images i...
Differentiable planning promises end-to-end differentiability and adapti...
We study how group symmetry helps improve data efficiency and generaliza...
Compositional generalization is a critical ability in learning and
decis...
Incorporating symmetries can lead to highly data-efficient and generaliz...
We present a deep imitation learning framework for robotic bimanual
mani...