Jason Jingzhou Liu

Email: liujason [at] cmu [dot] edu

I am a first-year Robotics PhD student at Carnegie Mellon University in the School of Computer Science. I am advised by Deepak Pathak and Ruslan Salakhutdinov, working on dexterous manipulation with robotic hands.

I graduated from Engineering Science at the University of Toronto, where I received my B.ASc. Previously, I worked with Florian Shkurti at the Robot Vision & Learning Lab and Animesh Garg at the People, AI, & Robots. Research Group. I also worked on simulation and robot learning research at NVIDIA, collaborating with Ankur Handa, Karl Van Wyk, and Nathan Ratliff.

Feel free to contact me via email at liujason [at] cmu [dot] edu!

profile photo

Research

I am interested in building robotic systems capable of performing dexterous, robust, human-like skills that can generalize to unstructrued and diverse environemnts. My research focuses on robot learning for manipulation and perception with an emphasis on sim-to-real.

Synthetica: Large Scale Synthetic Data Generation for Robot Perception

In submission

project page | abstract

TODO
          

ORBIT-Surgical: An Open-Simulation Framework for Accelerated Learning Environments in Surgical Autonomy
Qinxi Yu*, Masoud Moghani*, Karthik Dharmarajan, Vincent Schorp, William Chung-Ho Panitch Jingzhou Liu, Kush Hari, Huang Huang, Mayank Mittal, Ken Goldberg, Animesh Garg
ICRA, 2024

project page | abstract | bibtex | arXiv

@article{yu2024orbitsurgical,
title={ORBIT-Surgical: An Open-Simulation Framework 
for Learning Surgical Augmented Dexterity}, 
author={Qinxi Yu and Masoud Moghani and 
Karthik Dharmarajan and Vincent Schorp and 
William Chung-Ho Panitch and Jingzhou Liu and 
Kush Hari and Huang Huang and Mayank Mittal and 
Ken Goldberg and Animesh Garg},
journal={arXiv},
year={2024},
}
          

HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors
Shutong Zhang*, Yiling Qiao*, Guanglei Zhu*, Eric Heiden, Dylan Turpin, Jingzhou Liu, Ming Lin, Miles Macklin, Animesh Garg
ICRA, 2024

project page | abstract | bibtex | arXiv

@InProceedings{zhang2023handypriors,
title={HandyPriors: Physically Consistent Perception 
of Hand-Object Interactions with Differentiable Priors},
author={Shutong Zhang and Yiling Qiao and Guanglei Zhu and 
Eric Heiden and Dylan Turpin and Jingzhou Liu and 
Ming Lin and Miles Macklin and Animesh Garg},
journal={arXiv},
year={2023},
}
          

DeXtreme: Transfer of Agile In-Hand Manipulation from Simulation to Reality
Ankur Handa*, Arthur Allshire*, Viktor Makoviychuk*, Aleksei Petrenko*, Ritvik Singh*, Jingzhou Liu*, Denys Makoviichuk, Karl Van Wyk, Alexander Zhurkevich, Balakumar Sundaralingam, Yashraj Narang, Jean-Francois Lafleche, Dieter Fox, Gavriel State
ICRA, 2023

project page | abstract | bibtex | arXiv | code

@article{nvidia2022dextreme,
title={DeXtreme: Transfer of Agile In-Hand 
Manipulation from Simulation to Reality},
author={Handa, Ankur and Allshire, Arthur and 
Makoviychuk, Viktor and Petrenko, Aleksei and 
Singh, Ritvik and Liu, Jingzhou and 
Makoviychuk, Denys and Van Wyk, Karl and 
Zhurkevich, Alexander and Sundaralingam, Balakumar
and Narang, Yashraj and Lafleche, Jean-Francois and 
Fox, Dieter and State, Gavriel},
journal={arXiv},
year={2022},
}
          

Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation
Dylan Turpin, Tao Zhong, Shutong Zhang, Guanglei Zhu, Jingzhou Liu, Ritvik Singh, Eric Heiden, Miles Macklin, Stavros Tsogkas, Sven Dickinson, Animesh Garg
ICRA, 2023

project page | abstract | bibtex | arXiv

@article{turpin2023fastgraspd,
title={Fast-Grasp'D: Dexterous Multi-finger Grasp 
Generation Through Differentiable Simulation}, 
author={Dylan Turpin and Tao Zhong and Shutong Zhang and 
Guanglei Zhu and Jingzhou Liu and Ritvik Singh and 
Eric Heiden and Miles Macklin and Stavros Tsogkas and 
Sven Dickinson and Animesh Garg},
journal={arXiv},
year={2023},
}
          

Geometry Matching for Multi-Embodiment Grasping.
Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson
CoRL, 2023

project page | abstract | bibtex | arXiv | code

@article{attarian2023geometry,
title={Geometry Matching for Multi-Embodiment Grasping}, 
author={Maria Attarian and Muhammad Adil Asif and 
Jingzhou Liu and Ruthrash Hari and Animesh Garg and 
Igor Gilitschenski and Jonathan Tompson},
journal={arXiv},
year={2023},
}
          

Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments
Mayank Mittal, Calvin Yu, Qinxi Yu, Jingzhou Liu, Nikita Rudin, David Hoeller, Jia Lin Yuan, Ritvik Singh, Yunrong Guo Hammad Mazhar, Ajay Mandlekar, Buck Babich, Gavriel State, Marco Hutter, Animesh Garg
IROS, 2023 | RA-L

project page | abstract | bibtex | arXiv | code

@article{mittal2023orbit,
title={Orbit: A Unified Simulation Framework for 
Interactive Robot Learning Environments}, 
author={Mittal, Mayank and Yu, Calvin and 
Yu, Qinxi and Liu, Jingzhou and Rudin, Nikita and 
Hoeller, David and Yuan, Jia Lin and 
Singh, Ritvik and Guo, Yunrong and 
Mazhar, Hammad and Mandlekar, Ajay and 
Babich, Buck and State, Gavriel and 
Hutter, Marco and Garg, Animesh},
journal={IEEE Robotics and Automation Letters}, 
year={2023},
volume={8},
number={6},
pages={3740-3747},
doi={10.1109/LRA.2023.3270034}
}
          

Education

Ph.D in Robotics
School of Computer Science

Carnegie Mellon University
2024 - Present
Bachelor of Applied Science and Engineering
Engineering Science Robotics

University of Toronto
2019 - 2024

Personal Projects

Safe Drone Teleoperation with Real Time Mapping and Obstacle Avoidance
Engineering Science Robotics Capstone
University of Toronto

project page | abstract | video | code


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