← Search

Yunhui Yan

2 accepted papers

2022

Passive Bimanual Skills Learning From Demonstration With Motion Graph Attention Networks

RA-L 2022

Enabling household robots to passively learn task-level skills from human demonstration could substantially boost their application in daily life. In this letter, we propose a Learning from Demonstration (LfD) scheme capturing human uni/bimanual demonstrations with motion capture suit and virtual re

Cited by 14SourceScholar
2019

Depth Generation Network: Estimating Real World Depth from Stereo and Depth Images

ICRA 2019poster

In this work, we propose the Depth Generation Network (DGN) to address the problem of dense depth estimation by exploiting the variational method and the deep-learning technique. In particular, we focus on improving the feasibility of depth estimation under complex scenarios given stereo RGB images,…

Cited by 0SourceScholar