3 papers
cs.CV2026
R3D: Revisiting 3D Policy Learning
Zhengdong Hong, Shenrui Wu, Haozhe Cui +8
3D policy learning promises superior generalization and cross-embodiment transfer, but progress has been hindered by training instabilities and severe overfitting, precluding the a…
cs.RO2024
Lessons from Learning to Spin "Pens"
Jun Wang, Ying Yuan, Haichuan Che +4
In-hand manipulation of pen-like objects is an important skill in our daily lives, as many tools such as hammers and screwdrivers are similarly shaped. However, current learning-ba…
cs.RO2024
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation
Jun Wang, Yuzhe Qin, Kaiming Kuang +4
We introduce CyberDemo, a novel approach to robotic imitation learning that leverages simulated human demonstrations for real-world tasks. By incorporating extensive data augmentat…