I am currently a fifth-year Ph.D. student in Computer Science at Stanford University. I am advised by Prof. Fei-Fei Li and Prof. Silvio Savarese at the Stanford Vision and Learning Lab. My research interest lies at robot learning and 3D simulation environment.
I received my B.S. in Computer Science with Distinction from Stanford University in 2017 and M.S. in Management Science & Engineering from Stanford University in 2020. In the past, I've worked/interned at Google DeepMind (robotics team) (2023), Nvidia (2022-2023), Google Brain Robotics (2019-2020), AutoX (2017-2018), Shift (2016), and Tableau (2015).
Email: chengshu@stanford.edu
2024/05/01: Our paper Chain of Code: Reasoning with a Language Model-Augmented Code Emulator is accepted at ICML 2024 (Oral)!
2024/03/18: We presented the long-awaited full release of BEHAVIOR-1K at GTC 2024. Watch our talk (free registration) here! Check out our website!
2023/12/08: We released Chain of Code: Reasoning with a Language Model-Augmented Code Emulator!
2022/09/10: Our paper BEHAVIOR-1K: A Benchmark for Embodied AI with 1,000 Everyday Activities and Realistic Simulation is accepted at CoRL 2022 and nominated for best paper!
2021/09/13: Our papers BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments and iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks are accepted at CoRL 2021!
2021/06/30: Our paper iGibson 1.0: a Simulation Environment for Interactive Tasks in Large Realistic Scenes is accepted at IROS 2021!
2021/06/20: We concluded the iGibson Challenge 2021 and the CVPR2021 Embodied AI Workshop. Check out our video for the challenge and the panel discussions that I was a part of!
2021/02/28: Our paper ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation is accepted at ICRA 2021!
2021/02/17: We launched the iGibson Challenge 2021 at the CVPR2021 Embodied AI Workshop! We featured Interactive and Social Navigation in dynamic environments in iGibson!
Ph.D. Candidate in Computer Science
2020/09 - Present
Stanford, CA
Master of Science in Management Science and Engineering
2019/01 - 2020/06
Stanford, CA
GPA: 4.0 / 4.0
Bachelor of Science in Computer Science with Distinction
2013/09 - 2017/06
Stanford, CA
GPA: 3.93 / 4.0
Chengshu Li*, Ruohan Zhang*, Josiah Wong*, Cem Gokmen*, Sanjana Srivastava*, Roberto Martín-Martín*, Chen Wang*, Gabrael Levine*, Michael Lingelbach, Jiankai Sun, Mona Anvari, Minjune Hwang, Manasi Sharma, Arman Aydin, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Silvio Savarese, Hyowon Gweon, Karen Liu, Jiajun Wu, Li Fei-Fei
Conference on Robot Learning (CoRL) 2022 (Oral)
Nominated for Best Paper Award
[paper][arxiv paper][website][code]
Bokui Shen*, Fei Xia*, Chengshu Li*, Roberto Martín-Martín*, Linxi Fan, Guanzhi Wang, Claudia Pérez-D'Arpino, Shyamal Buch, Sanjana Srivastava, Lyne Tchapmi, Micael Tchapmi, Kent Vainio, Josiah Wong, Li Fei-Fei, Silvio Savarese
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021
Yunhao Ge*, Yihe Tang*, Jiashu Xu*, Cem Gokmen*, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu
Conference on Computer Vision and Pattern Recognition (CVPR) 2024 (Poster (Highlight))
[paper]
Anthony Francis, Claudia Pérez-d'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin Hart, Jonathan P How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J Manso, Reuth Mirksy, Soeren Pirk, Phani Teja Singamaneni, Peter Stone, Ada V Taylor, Peter Trautman, Nathan Tsoi, Marynel Vazquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martín-Martín
ACM Transactions on Human-Robot Interaction (THRI)
[paper]
Andrey Kurenkov, Michael Lingelbach, Agarwal Tanmay, Chengshu Li, Emily Jin, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín
International Conference on Machine Learning (ICML) 2023
[paper]
Michael Lingelbach, Chengshu Li, Minjune Hwang, Andrey Kurenkov, Alan Lou, Roberto Martín-Martín, Ruohan Zhang, Li Fei-Fei, Jiajun Wu
IEEE International Conference on Robotics and Automation (ICRA) 2023
[paper]
Ruohan Gao*, Hao Li*, Gokul Dharan, Zhuzhu Wang, Chengshu Li, Fei Xia, Silvio Savarese, Li Fei-Fei, Jiajun Wu
IEEE International Conference on Robotics and Automation (ICRA) 2023
[paper]
Cem Gokmen, Ruohan Zhang, Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Silvio Savarese, Jiajun Wu, Li Fei-Fei
Journal of Vision December 2022, Volume 22, Issue 14, 3819
[paper]
Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese
IEEE Robotics and Automation Letters (RA-L) and International Conference on Robotics and Automation (ICRA) 2020
Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu
arXiv pre-print
[paper]
Tian Tan*, Zhihan Xiong*, Chengshu Li*
[paper]
Chengshu Li*, Kedao Wang*, Zihua Liu*
[paper]
Jun-Ting Hsieh*, Chengshu Li*, Wendi Liu*
[paper]