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[ICRA18] Unsupervised Learning using Hierarchical Models for Hand-Object Interactions
Contact forces of the hand are visually unobservable, but play a crucial role in understanding hand-object interactions. In this paper, …
Xu Xie
,
Hangxin Liu
,
Mark Edmonds
,
Feng Gao
,
Siyuan Qi
,
Yixin Zhu
,
Brandon Rothrock
,
Song-Chun Zhu
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[IROS17] A Glove-based System for Studying Hand-Object Manipulation via Joint Pose and Force Sensing
We present a design of an easy-to-replicate glove-based system that can reliably perform simultaneous hand pose and force sensing in …
Hangxin Liu
,
Xu Xie
,
Mark Edmonds
,
Feng Gao
,
Yixin Zhu
,
Veronica Santos
,
Brandon Rothrock
,
Song-Chun Zhu
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[IROS17] Feeling the Force: Integrating Force and Pose for Fluent Discovery through Imitation Learning to Open Medicine Bottles
Learning complex robot manipulation policies for real-world objects is challenging, often requiring significant tuning within …
Mark Edmonds
,
Feng Gao
,
Xu Xie
,
Hangxin Liu
,
Siyuan Qi
,
Yixin Zhu
,
Brandon Rothrock
,
Song-Chun Zhu
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Poster
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[SIGGRAPHAsia16Workshop] A Virtual Reality Platform for Dynamic Human-Scene Interaction
Both synthetic static and simulated dynamic 3D scene data is highly useful in the fields of computer vision and robot task planning. …
Jenny Lin
,
Xingwen Guo
,
Jingyu Shao
,
Chenfanfu Jiang
,
Yixin Zhu
,
Song-Chun Zhu
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[CVPR15] Understanding Tools: Task-Oriented Object Modeling, Learning and Recognition
In this paper, we present a new framework for task-oriented object modeling, learning and recognition. The framework include: i) …
Yixin Zhu
,
Yibiao Zhao
,
Song-Chun Zhu
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