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Found 5 papers, 4 papers with code
Learning visual policies for building 3D shape categories
We then show the success of our visual policies for building arches from different primitives.
Learning to combine primitive skills: A step towards versatile robotic manipulation
Manipulation tasks such as preparing a meal or assembling furniture remain highly challenging for robotics and vision.
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning
We address the problem of visually guided rearrangement planning with many movable objects, i. e., finding a sequence of actions to move a set of objects from an initial arrangement to a desired one, while relying on visual inputs coming from an RGB camera.
Learning joint reconstruction of hands and manipulated objects
Previous work has made significant progress towards reconstruction of hand poses and object shapes in isolation.
Ranked #7 on
hand-object pose
on DexYCB
Learning to Augment Synthetic Images for Sim2Real Policy Transfer
Policies learned in simulators, however, do not transfer well to real scenes given the domain gap between real and synthetic data.
