19 citations · 35 across the 14 of their papers we have counts for
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cs.RO2023★ 4 cited
Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation
Hongtao Wu, Ya Jing, Chilam Cheang +6
Generative pre-trained models have demonstrated remarkable effectiveness in language and vision domains by learning useful representations. In this paper, we extend the scope of th…
cs.RO2023★ 19 cited
Vision-Language Foundation Models as Effective Robot Imitators
Xinghang Li, Minghuan Liu, Hanbo Zhang +9
Recent progress in vision language foundation models has shown their ability to understand multimodal data and resolve complicated vision language tasks, including robotics manipul…
cs.RO2023★ 1 cited
InViG: Benchmarking Interactive Visual Grounding with 500K Human-Robot Interactions
Hanbo Zhang, Jie Xu, Yuchen Mo +1
Ambiguity is ubiquitous in human communication. Previous approaches in Human-Robot Interaction (HRI) have often relied on predefined interaction templates, leading to reduced perfo…