19 citations · 20 across the 5 of their papers we have counts for
7 papers
CANINE: Coaching Visually Impaired Users for Interactive Navigation with a Robot Guide Dog
Cunjun Yu, Zishuo Wang, Anxing Xiao +2
Robot guide dogs offer navigation assistance that greatly expands the independent mobility of the visually impaired, but their effective use requires subtle human-robot coordinatio…
"Stack It Up!": 3D Stable Structure Generation from 2D Hand-drawn Sketch
Yiqing Xu, Linfeng Li, Cunjun Yu +1
Imagine a child sketching the Eiffel Tower and asking a robot to bring it to life. Today's robot manipulation systems can't act on such sketches directly-they require precise 3D bl…
CLASP: General-Purpose Clothes Manipulation with Semantic Keypoints
Yuhong Deng, Chao Tang, Cunjun Yu +2
Clothes manipulation, such as folding or hanging, is a critical capability for home service robots. Despite recent advances, most existing methods remain limited to specific clothe…
Robi Butler: Multimodal Remote Interaction with a Household Robot Assistant
Anxing Xiao, Nuwan Janaka, Tianrun Hu +4
Imagine a future when we can Zoom-call a robot to manage household chores remotely. This work takes one step in this direction. Robi Butler is a new household robot assistant that…
GSON: A Group-based Social Navigation Framework with Large Multimodal Model
Shangyi Luo, Peng Sun, Ji Zhu +4
With the increasing presence of service robots and autonomous vehicles in human environments, navigation systems need to evolve beyond simple destination reach to incorporate socia…
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features
Letian Wang, Seung Wook Kim, Jiawei Yang +7
We propose DistillNeRF, a self-supervised learning framework addressing the challenge of understanding 3D environments from limited 2D observations in outdoor autonomous driving sc…
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…