3 citations · 7 across the 4 of their papers we have counts for
4 papers
Object-Centric Dexterous Manipulation from Human Motion Data
Yuanpei Chen, Chen Wang, Yaodong Yang +1
Manipulating objects to achieve desired goal states is a basic but important skill for dexterous manipulation. Human hand motions demonstrate proficient manipulation capability, pr…
EgoNav: Egocentric Scene-aware Human Trajectory Prediction
Weizhuo Wang, C. Karen Liu, Monroe Kennedy
Wearable collaborative robots stand to assist human wearers who need fall prevention assistance or wear exoskeletons. Such a robot needs to be able to constantly adapt to the surro…
DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation
Chen Wang, Haochen Shi, Weizhuo Wang +3
Imitation learning from human hand motion data presents a promising avenue for imbuing robots with human-like dexterity in real-world manipulation tasks. Despite this potential, su…
Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation
Yuanpei Chen, Chen Wang, Li Fei-Fei +1
Many real-world manipulation tasks consist of a series of subtasks that are significantly different from one another. Such long-horizon, complex tasks highlight the potential of de…