3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.RO2022★ 1 cited
One-Shot Domain-Adaptive Imitation Learning via Progressive Learning
Dandan Zhang, Wen Fan, John Lloyd +2
Traditional deep learning-based visual imitation learning techniques require a large amount of demonstration data for model training, and the pre-trained models are difficult to ad…
cs.RO2021★ 3 cited
Explainable Hierarchical Imitation Learning for Robotic Drink Pouring
Dandan Zhang, Yu Zheng, Qiang Li +3
To accurately pour drinks into various containers is an essential skill for service robots. However, drink pouring is a dynamic process and difficult to model. Traditional deep imi…