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.
Our paper on combining motion predictive control with deep RL is accepted for NIPS 2018 Deep RL Workshop!
Our paper on composing robot skill embeddings is submitted to ICRA 2019!
Our paper on applying deep neural networks to motion planning is submitted to ICRA 2019!
Our paper on robot skill embeddings is accepted for ISER 2018!
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
I hope this blog can help more people understand PILCO easier...