CV / Google Scholar / GitHub
Email: zhanpeng at cs.columbia.edu
I am a Ph.D candidate in computer science at Columbia University. My research focuses on robotics, computer vision and reinforcement learning. I am privileged to be co-advised by Professor Matei Ciocarlie and Professor Shuran Song. I am also a member of the Robotic Manipulation and Mobility (ROAM) Lab and the Columbia Artificial Intelligence and Robotics (CAIR) Lab.
Before joining CU, I recieved a master's degree from University of Southern California, where I worked as a research assistant at the Robotic Embedded System Laboratory (RESL) and advised by Professor Gaurav Sukhatme and Professor Stefan Schaal. Before joining USC, I received a Bachelor of Science degree in Computer Science from the Rutgers University.
I am always happy to mentor highly-motivated undergraduate/master students. If you are at Columbia (preferred) and want to discuss project ideas/research opportunities, please feel free to shoot me an email. Currently, I have the luck to work with: Toby Kreiman, Siddharth Singi, Rohan James.
Updates
- [Feb 2024] I am invited to give a talk at the Embodiment-Aware Robot Learning Workshop at RSS 2024!
- [Jan 2024] Two papers (hardware-policy co-design and learning human-in-the-loop policy) are accepted by ICRA 2024.
- [Jan 2023] My intership project Pick2Place is accepted by ICRA 2023!
- [Jun 2022] I started my summer internship as a research intern at Samsung AI Center NY.
- [May 2022] DiscoSyn and UMPNet are presented at ICRA 2022!
Publications (* - indicates equal contribution)
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024
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International Conference on Robotics and Automation (ICRA) 2024
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International Conference on Robotics and Automation (ICRA) 2024
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International Conference on Robotics and Automation (ICRA) 2023
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International Conference on Robotics and Automation (ICRA) 2022
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Robotics and Automation Letters (RA-L)
International Conference on Robotics and Automation (ICRA) 2022
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Science Robotics
Conference on Robot Learning (CoRL) 2020
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Science Robotics Article
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Conference on Robot Learning (CoRL) 2020
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International Conference on Intelligent Robots and Systems (IROS) 2020
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Conference on Robot Learning (CoRL) 2019
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Neural Information Processing Systems (NIPS) 2018
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The International Journal of Robotics Research (IJRR)
International Symposium on Experimental Robotics (ISER) 2018
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Teaching
- Teaching Assistant: MECE 6616 E Robot Learning 2020Spring, 2022Spring
- Teaching Assistant: CS111 Introduction to Computer Science
Softwares
I was a member of rlworkgroup and took part in development of several robot-learning-related open-source projects.
- Garage: A toolkit for reproducible reinforcement learning research.
- Dowel: A little logger for machine learning research.
- Meta-World: A collection of environments for benchmarking meta-learning and multi-task reinforcement learning algorithms.