4 papers
DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation
Zhao Mandi, Yifan Hou, Dieter Fox +3
We study the problem of functional retargeting: learning dexterous manipulation policies to track object states from human hand-object demonstrations. We focus on long-horizon, bim…
Semantically Controllable Augmentations for Generalizable Robot Learning
Zoey Chen, Zhao Mandi, Homanga Bharadhwaj +4
Generalization to unseen real-world scenarios for robot manipulation requires exposure to diverse datasets during training. However, collecting large real-world datasets is intract…
DeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation
Bardienus P. Duisterhof, Zhao Mandi, Yunchao Yao +8
Teaching robots to fold, drape, or reposition deformable objects such as cloth will unlock a variety of automation applications. While remarkable progress has been made for rigid o…
Real2Code: Reconstruct Articulated Objects via Code Generation
Zhao Mandi, Yijia Weng, Dominik Bauer +1
We present Real2Code, a novel approach to reconstructing articulated objects via code generation. Given visual observations of an object, we first reconstruct its part geometry usi…