From 083e4e2d15a3e4dbb5be93a90d63f2e53ad054a4 Mon Sep 17 00:00:00 2001 From: Tawfik Osman <92664351+tmosman@users.noreply.github.com> Date: Sun, 17 Nov 2024 15:46:24 -0700 Subject: [PATCH] Create index_new.html --- index_new.html | 333 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 333 insertions(+) create mode 100644 index_new.html diff --git a/index_new.html b/index_new.html new file mode 100644 index 0000000..e2529c5 --- /dev/null +++ b/index_new.html @@ -0,0 +1,333 @@ + + + + + + + + Cheng Chi + + + +
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Picture taken by Huy Ha

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Cheng Chi 迟宬
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chchi at stanford dot edu
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+ I'm a Computer Science PhD student at Columbia University and a Student of New Faculty (SNF) at Stanford University. + I have always been fascinated by the interaction between computers + and the physical world. Branching out from this theme, I have explored + Geometric/Probabilistic Algorithms, Mapping/Geographic Information Systems, + and Camera Architecture/Computational Photography under various academic + and industrial settings. +

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+ I'm fortunate to be advised by Professor Shuran Song. + My research will focus on robotic manipulation and perception. +

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+ Learning random things has been the greatest source of pleasure for me, and I hope this will never stop. + Recently, I have been studying the science of cooking in my free time. +

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+ + CV + + / + + Twitter + + / + + Github + + +
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Updates

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Research

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+ + + + + Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots + +

+ Cheng Chi*, + Zhenjia Xu*, + Chuer Pan, + Eric Cousineau, + Ben Burchfiel, + Siyuan Feng, +
+ Russ Tedrake, + Shuran Song +
Robotics: Science and Systems (RSS) 2024
+ Best Systems Paper Finalist   •   + Website  •   + ArXiv  •   + Twitter + + +

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+ + + + + Open X-Embodiment: Robotic Learning Datasets and RT-X Models + +

+ Abhishek Padalkar et al +
International Conference on Robotics and Automation (ICRA) 2024
+ Best Paper Award   •   + Website  •   + ArXiv + + +

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+ + + + + Diffusion Policy: Visuomotor Policy Learning via Action Diffusion + +

+ Cheng Chi, + Siyuan Feng, + Yilun Du, + Zhenjia Xu, + Eric Cousineau, + Ben Burchfiel, + Shuran Song +
Robotics: Science and Systems (RSS) 2023
+ Website  •   + ArXiv  •   + Twitter + + +

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+ + + + + XSkill: Cross Embodiment Skill Discovery + +

+ Mengda Xu, + Zhenjia Xu, + Cheng Chi, + Manuela Veloso, + Shuran Song +
Conference on Robot Learning (CoRL) 2023
+ Website  •   + ArXiv + + +

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+ + + + + RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects + +

+ Zhenjia Xu, + Zhou Xian, + Xingyu Lin, + Cheng Chi, + Zhiao Huang, + Chuang Gan, + Shuran Song +
Robotics: Science and Systems (RSS) 2023
+ Website  •   + ArXiv  •   + Video +

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+ + + + + Cloth Funnels: Canonicalized-Alignment for Multi-Purpose Garment Manipulation + +

+ Alper Canberk, + Cheng Chi, + Huy Ha, + Ben Burchfiel, + Eric Cousineau, + Siyuan Feng, + Shuran Song +
International Conference on Robotics and Automation (ICRA) 2023
+ Website  •   + ArXiv  •   + Video +

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+ + + + + Iterative Residual Policy: for Goal-Conditioned Dynamic Manipulation of Deformable Objects + +

+ Cheng Chi, + Benjamin Burchfiel, + Eric Cousineau, + Siyuan Feng, + Shuran Song, +
Robotics: Science and Systems (RSS) 2022
+ Best Paper Award   •   + Best Student Paper Finalist  •   + Website  •   + ArXiv  •   + Video +

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+ + + + + DextAIRity: Deformable Manipulation Can be a Breeze + +

+ Zhenjia Xu, + Cheng Chi, + Benjamin Burchfiel, + Eric Cousineau, + Siyuan Feng, + Shuran Song, +
Robotics: Science and Systems (RSS) 2022
+ Best Systems Paper Finalist   •   + Website   •   + ArXiv   •   + Video +

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+ + + + + GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion + +

+ Cheng Chi, Shuran Song +
The IEEE International Conference on Computer Vision (ICCV) 2021
+ Website   •   + ArXiv   •   + Video +

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+ + + + + Occlusion-robust Deformable Object Tracking without Physics Simulation + +

+ Cheng Chi, Dmitry Berenson +
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2019
+ ArXiv   •   + Github   •   + Video +

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