Email: y1qin [at] ucsd (dot) edu
I am a second year master at UC San Diego, advised by Prof.
Hao Su in the Center for Visual Computing.
Before that, I received my bachelor degree from Shanghai Jiao Tong University.
Currently, I am a AI resident at X for summer 2020
My research interests lie in building robot that can learn from interacting with the world.
In particular, I am interested in robotics manipulation, task-oriented 3D perception and
learning. I am also interested in building simulation environment to train robot learning
SAPIEN: A SimulAted Part-based Interactive ENvironment
Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang,
Li Yi, Angel X.Chang, Leonidas J. Guibas and Hao Su
Conference on Computer Vision and Pattern Recognition (CVPR) 2020
We developed SAPIEN, a robotics simulator for training robot by interacting with articulated
objects. Our realistic and physics-rich simulated environment hosts a large-scale set for
articulated objects. It also provided a hierarchical robot interface consists of sensors and
controllers to support both low-level control
and high-level planning.
S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes
Rui Chen*, Hao Zhu, Meng Song, Jing Xu, Hao Su
Conference of Robot Learning (CoRL) 2019
We studied the problem of 6D grasping in cluttered scene captured with commodity depth
sensor from a single view point.
Our learning based approach trained in a synthetic scene can work well in real-world
scenarios, with improved speed and success rate compared with SOTA.
Composing Task-Agnostic Policies with Deep Reinforcement Learning
Ahmed Qureshi, Jacob Johnson, Yuzhe Qin, Taylor Henderson, Byron Boots, Michael
International Conference of Learning Representation (ICLR) 2020
We propose a novel reinforcement learning-based
skill transfer and composition method that takes the agent's primitive policies to solve
We show that our method not only transfers skills to new problem settings but also solves
the challenging environments
requiring both task planning and motion control with high data efficiency.
- Zhiyuan Honor Degree of B.Sc (48 among 3992), Shanghai Jiao Tong University. 2018
- Zhiyuan College Honors Scholarship (Top 5%), Shanghai Jiao Tong University. 2015 &
- Excellecnt Graduate Award, Shanghai. 2018