I am an assistant professor in computer science department at Columbia University, where I direct the Columbia Artificial Intelligence and Robotics (CAIR) Lab . My research focuses on computer vision and robotics. I’m interested in developing algorithms that enable intelligent systems to learn from their interactions with the physical world, and autonomously acquire the perception and manipulation skills necessary to execute complex tasks and assist people.
Prospective Students & Post-docs: Prospective post-docs, please email me your CV directly. Current students at Columbia, please fill out this form. PhD applicants, please apply directly to the PhD program and mention my name in your application.
Email: shurans at cs.columbia.edu Office: 624 CEPSR, 530 West 120th St, New York, NY 10027
News
- IRP won Best Paper Award at RSS 2022!
- DextAIRity get selected as Best System Paper Finalist at RSS 2022!
- Received a NSF CAREER award
- Honored to be a 2022 Sloan Research Fellow
- FlingBot won Best System Paper Award at CoRL 2021!
- Honored to be a 2021 Microsoft Research Faculty Fellow
- TossingBot won 2020 IEEE Transactions on Robotics Best Paper Award!
- Form2Fit got ICRA'20 Best Paper in Automation Award Finalist
- Nerual Illumination got CVPR'19 Best Paper Award Finalist
- JP Morgan Faculty Research Award 2021
- TRI Young Faculty Award 2021
- Amazon Research Award 2020
- TossingBot got RSS'19 Best Systems Paper Award and featured on the front page of The New York Times Business
- Learning Synergies between Pushing and Grasping got IROS Best Cognitive Robotics Paper Award Finalist
- Amazon Robotics Best Systems Paper Award
- 1st place winners of the stow task at the worldwide Amazon Picking Challenge with MIT
Recent Talks
- Abstraction as Inductive Bias: Open-World 3D Scene Understanding without Open-World 3D Data ( Slide ) at Inductive Bias in Robot Learning Workshop @ CoRL'22
- The Reasonable Effectiveness of Dynamic Manipulation for Deformable Objects( Talk ) at University of Toronto Robotics Institute
- Structure from Action: Articulated Object Structure Discovery with Active Interactions ( Slides ) at ICCV Struco3D Workshop
- Self-Adaptive Manipulation ( Slides ) ( Talk )
- Unfolding the Unseen: Deformable Cloth Perception and Manipulation ( Slides Video PDF) ( Talk )
- Active Scene Understanding with Robot Interactions ( Slides )
- Category-level Pose Estimation ( Slides ) at ECCV2020 Workshop on Recovering 6D Object Pose
- Learning Visual Representations for Generalizable Manipulation ( Slides ) at CVPR2020 3D Scene Understanding for Vision, Graphics, and Robotics
Publications
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Jimmy Wu, Rika Antonova, Adam Kan, Marion Lepert, Andy Zeng, Shuran Song, Jeannette Bohg, Szymon Rusinkiewicz, Thomas Funkhouser
arXiv:2305.05658, 2023
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Cheng Chi, Siyuan Feng, Yilun Du, Zhenjia Xu, Eric Cousineau, Benjamin Burchfiel, Shuran Song
Robotics: Science and Systems (RSS) 2023
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Zhenjia Xu, Zhou Xian, Xingyu Lin, Cheng Chi, Zhiao Huang, Chuang Gan, Shuran Song
Robotics: Science and Systems (RSS) 2023
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(a.k.a Clip on Wheels)
Samir Yitzhak Gadre, Mitchell Wortsman, Gabriel Ilharco, Ludwig Schmidt, Shuran Song
Conference on Computer Vision and Pattern Recognition (CVPR 2022)
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Paper

Alper Canberk, Cheng Chi, Huy Ha, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, Shuran Song
International Conference on Robotics and Automation (ICRA 2023)
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Jingxi Xu*, Han Lin*, Shuran Song, Matei Ciocarlie
International Conference on Robotics and Automation (ICRA 2023)
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Huy Ha, Shuran Song
Conference on Robot Learning (CoRL2022)
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Demo on Huggingface

Zeyi Liu, Zhenjia Xu, Shuran Song
Conference on Robot Learning (CoRL2022)
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Code

Mengda Xu, Manuela Veloso, Shuran Song
Conference on Neural Information Processing Systems (NeurIPS 2022)
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Gabriel Ilharco*, Mitchell Wortsman*, Samir Yitzhak Gadre*, Shuran Song, Hannaneh Hajishirzi Simon Kornblith, Ali Farhadi, Ludwig Schmidt
Conference on Neural Information Processing Systems (NeurIPS 2022)
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Paper
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Cheng Chi, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, Shuran Song
Robotics: Science and Systems (RSS) 2022
Best Paper Award •
Best Student Paper Finalist •
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Paper
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Zhenjia Xu, Cheng Chi, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, Shuran Song
Robotics: Science and Systems (RSS) 2022
Best System Paper Finalist •
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Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Szymon Rusinkiewicz, Thomas Funkhouser
Robotics and Automation Letters (RA-L) 2022
Intelligent Robots and Systems (IROS) 2022
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Jingxi Xu, Shuran Song, Matei Ciocarlie
Robotics and Automation Letters (RA-L) 2022
Intelligent Robots and Systems (IROS) 2022
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Paper

Shubham Agrawal*, Yulong Li*, Jen-Shuo Liu, Steven K. Feiner, Shuran Song
Intelligent Robots and Systems (IROS) 2022
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Samir Yitzhak Gadre, Kiana Ehsani, Shuran Song, Roozbeh Mottaghi,
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022)
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Paper

Zhenjia Xu, Zhanpeng He, Shuran Song
Robotics and Automation Letters (RA-L) and ICRA 2022
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Wenji Liu, Kai Bai, Xuming He, Shuran Song, Changxi Zheng, and Xiaopei Liu
International Conference on Robotics and Automation (ICRA 2022)
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Xiaolong Li, Yijia Weng, Li Yi, Leonidas Guibas, A. Lynn Abbott, Shuran Song, He Wang
NeurIPS, 2021
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Code

Huy Ha, Shuran Song
Conference on Robot Learning (CoRL2021)
Best System Paper Award •
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Code

Cheng Chi, Shuran Song
IEEE International Conference on Computer Vision (ICCV2021)
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Code

Samir Yitzhak Gadre, Kiana Ehsani, Shuran Song
IEEE International Conference on Computer Vision (ICCV2021)
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Code

Iretiayo Akinola*, Jingxi Xu*, Shuran Song, and Peter Allen
International Conference on Intelligent Robots and Systems (IROS) 2021
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Zhenjia Xu, Beichun Qi, Shubham Agrawal, Shuran Song
International Conference on Robotics and Automation (ICRA 2021)
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Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Szymon Rusinkiewicz, Thomas Funkhouser
International Conference on Robotics and Automation (ICRA 2021)
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Boyuan Chen, Yuhang Hu, Robert Kwiatkowski, Shuran Song, Hod Lipson
International Conference on Robotics and Automation (ICRA 2021)
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Yiqing Liang, Boyuan Chen, Shuran Song
International Conference on Robotics and Automation (ICRA 2021)
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Zhenjia Xu*, Zhanpeng He*, Jiajun Wu, Shuran Song
Conference on Robot Learning (CoRL) 2020
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Code

Huy Ha*, Shubham Agrawal*, Shuran Song
Conference on Robot Learning (CoRL) 2020
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Paper
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Huy Ha, Jingxi Xu, Shuran Song
Conference on Robot Learning (CoRL) 2020
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Code

Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick
European Conference on Computer Vision (ECCV) 2020
Oral Presentation •
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Shuran Song, Andy Zeng, Johnny Lee, Thomas Funkhouser
Intelligent Robots and Systems (IROS) 2020
Robotics and Automation Letters (RA-L) 2020
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Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Johnny Lee, Szymon Rusinkiewicz, Thomas Funkhouser
Robotics: Science and Systems (RSS) 2020
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Xiaolong Li, He Wang, Li Yi, Leonidas Guibas, A. Lynn Abbott, Shuran Song
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020
Oral Presentation •
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Kevin Zakka, Andy Zeng, Johnny Lee, Shuran Song
International Conference on Robotics and Automation (ICRA 2020)
Best Paper Award in Automation Finalist •
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Shreeyak S. Sajjan, Matthew Moore, Mike Pan, Ganesh Nagaraja, Johnny Lee, Andy Zeng, Shuran Song
International Conference on Robotics and Automation (ICRA 2020)
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Lin Yen-Chen, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin
International Conference on Robotics and Automation (ICRA 2020)
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Andy Zeng, Shuran Song, Stefan Welker, Johnny Lee, Alberto Rodriguez, Thomas Funkhouser
Robotics: Science and Systems 2019 (RSS 2019)
IEEE Transactions on Robotics (T-RO 2020)
Best System Paper Award Best Student Paper Finalist •
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Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua Tenenbaum, Shuran Song
Robotics: Science and Systems 2019 (RSS 2019)
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He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song , Leonidas J. Guibasi
Proceedings of 32th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2019)
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Shuran Song and Thomas Funkhouser
Proceedings of 32th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2019)
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Michelle Guo, Edward Chou, Shuran Song, De-An Huang, Serena Yeung, Li Fei-Fei
European Conference on Computer Vision (ECCV2018)
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A. Zeng, S. Song, S. Welker, J. Lee, A. Rodriguez, T. Funkhouser
Intelligent Robots and Systems (IROS) 2020
Best Cognitive Robotics Paper Award Finalist •
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S. Song, A. Zeng, A. X. Chang, M. Savva, S. Savarese, T. Funkhouser
Proceedings of 31th IEEE Conference on Computer Vision and Pattern Recognition CVPR2018
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A. Zeng, S. Song, K. Yu, E. Donlon, F. R. Hogan, M. Bauza, D. Ma, O. Taylor, M. Liu, E. Romo, N. Fazeli, F. Alet, N. C. Dafle, R. Holladay, I. Morona, P. Q. Nair, D. Green, I. Taylor, W. Liu, T. Funkhouser, A. Rodriguez (ICRA2018)
Amazon Robotics Best Systems Paper Award •
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S. Song, F. Yu, A. Zeng, A. Chang, M. Savva, T. Funkhouser
Proceedings of 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2017)
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A. Zeng, S. Song, M. Nießner, M. Fisher, J. Xiao and T. Funkhouser.
Proceedings of 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2017)
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Y. Zhang*, S. Song*, E. Yumer, M. Savva, J. Lee, H. Jin, T. Funkhouser.
Proceedings of 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2017)
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A. X. Chang, A. Dai, T. Funkhouser, M. Halber, M. Nießner, M. Savva, S. Song , A. Zeng, Y. Zhang
IEEE International Conference on 3D Vision (3DV 2017)
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A. Zeng, K.T. Yu, S. Song, D. Suo, E. Walker Jr., A. Rodriguez, and J. Xiao
International Conference on Robotics and Automation (ICRA2017)
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S. Song, and J. Xiao.
Proceedings of 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2016)
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A. Chang, T. Funkhouser, L. Guibas, P. Hanrahan, Q. Huang, Z. Li, S. Savarese, M. Savva, S. Song, H. Su, J. Xiao, L. Yi, and F. Yu.
arXiv:1512.03012 [cs.CV] 9 Dec 2015
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S. Song, S. Lichtenberg and J. Xiao
Proceedings of 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2015)
Oral Presentation [Watch it on Techtalks] •
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Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang and J. Xiao
Proceedings of 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2015)
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S. Song, L. Zhang, and J. Xiao.
arXiv:1507.02703 [cs.CV] 9 Jul 2015
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F. Yu, A. Seff, Y. Zhang, S. Song and J. Xiao.
arXiv:1506.03365 [cs.CV] 10 Jun 2015
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S. Song and J. Xiao
Proceedings of the 13th European Conference on Computer Vision (ECCV2014)
Oral Presentation [Watch it on Videolectures] •
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Y. Zhang, S. Song, P. Tan, and J. Xiao
Proceedings of the 13th European Conference on Computer Vision (ECCV2014)
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S. Song and J. Xiao
Proceedings of 14th IEEE International Conference on Computer Vision (ICCV2013)
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Teaching
- COMS 4733 Computational Aspects of Robotics,2022
- COMS 6998 Topics in Robot Learning, 2021
- COMS 4733 Computational Aspects of Robotics, 2020
- COMS 6998 Topics in Robot Learning
- Teaching Assistant: Princeton COS126 General Computer Science, 2015
- Teaching Assistant: HKUST ELEC1100 Introduction to Electro-Robot Design , 2011,2012
- Teaching Assistant: HKUST ELEC1200A System View of Communications: from Signals to Packets, 2011