Hejia Zhang

Graduate Researcher in Robotics
and Machine Learning


I'm a computer science master's student at Robotic Embedded Systems Lab (RESL) advised by Prof. Gaurav S. Sukhatme at the University of Southern California (USC). My research interests lie in all topics related to robotics. More recently, I have been investigating applications of imitation learning and reinforcement learning in robotics, especially data-efficient robot learning. Previously, I received my Bachelor's degreee from the Zhejiang University (ZJU) under the guidance of Prof. Hui Fang.


(Deep) Reinforcement and Imitation Learning
for robotics

Simulator-Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing
Accepted at NIPS 2018 Deep RL Workshop
Z. He*, R. Julian*, E. Heiden, H. Zhang, J. Lim, G. Sukhatme, S. Schaal, K. Hausman
Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation
Submitted to International Conference on Robotics and Automation (ICRA), 2019
H. Zhang*, E. Heiden*, R. Julian, Z. He, J. Lim, G. Sukhatme
Scaling simulation-to-real transfer by learning composable robot skills
Accepted at International Symposium on Experimental Robotics (ISER), 2018
R. Julian*, E. Heiden*, Z. He, H. Zhang, S. Schaal, J. Lim, G. Sukhatme, K. Hausman

More Robotics Projects

  • We made Nao walking!

  • We built two robots which can coordinate with each other to collect, sort, transport table tennis balls to different target areas based on their different colors at 2016 ASABE Robotics Student Design Competition.


Understanding PILCO
I hope this blog can help more people understand PILCO easier...