Yixin Zhu | PKU
Yixin Zhu | PKU
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Manipulation
[ICRA19] High-Fidelity Grasping in Virtual Reality using a Glove-based System
This paper presents a design that jointly provides hand pose sensing, hand localization, and haptic feedback to facilitate real-time …
Hangxin Liu
,
Zhenliang Zhang
,
Xu Xie
,
Yixin Zhu
,
Yue Liu
,
Yongtian Wang
,
Song-Chun Zhu
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Poster
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[AAAI19] Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions
This paper presents a mirroring approach, inspired by the neuroscience discovery of the mirror neurons, to transfer demonstrated …
Hangxin Liu
,
Chi Zhang
,
Yixin Zhu
,
Chenfanfu Jiang
,
Song-Chun Zhu
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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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Poster
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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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