Chengshu (Eric) Li
I am currently a second-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 the intersection of robot learning and computer vision.
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 Brain Robotics (2019-2020), AutoX (2017-2018), Shift (2016), and Tableau (2015).
CV | Google Scholar | LinkedIn
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
Master of Science in Management Science and Engineering
2019/01 - 2020/06
GPA: 4.0 / 4.0
Bachelor of Science in Computer Science with Distinction
2013/09 - 2017/06
GPA: 3.93 / 4.0
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes
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
Interactive Gibson Benchmark (iGibson 0.5): A Benchmark for Interactive Navigation in Cluttered Environments
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
* denotes equal contribution
Indexed Value Function Learning via Distributional Temporal Difference
DeepShuai: Deep Reinforcement Learning based Chinese Chess Player
Effective Word Representation for Named Entity Recognition
* denotes equal contribution