News

  • I will present a robot-assisted hair-brushing demo at NeurIPS 2019, Vancouver, Canada! (10/20/2019)
  • Our paper proposing a full pipeline of learning and execution of collaborative manipulation plans from YouTube videos was submitted to ICRA 2020! (9/15/2019)
  • Our paper about learning collaborative cooking plans from YouTube videos was accepted! It will be presented at ISRR 2019, Hanoi, Vietnam! (7/31/2019)

Publications

Journal Papers

  • Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman. Scaling Simulation-to-Real Transfer by Learning a Latent Space of Robot Skills. Invited submission to International Journal of Robotics Research (IJRR).

Conference Proceedings

  • Hejia Zhang and Stefanos Nikolaidis. Robot Learning and Execution of Collaborative Manipulation Plans from YouTube Videos. Under review for International Conference on Robotics and Automation (ICRA), 2020. [aiXiv]
  • Hejia Zhang, Po-Jen Lai, Sayan Paul, Suraj Kothawade and Stefanos Nikolaidis. Learning Collaborative Action Plans from Unlabeled YouTube Videos. In International Symposium on Robotics Research (ISRR), 2019. [pdf] [bibtex]
  • Ryan Julian*, Eric Heiden*, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman. Scaling simulation-to-real transfer by learning composable robot skills. In International Symposium on Experimental Robotics (ISER), 2018. [pdf] [bibtex]

Workshop Papers and Abstracts

  • Hejia Zhang, Eric Heiden, Stefanos Nikolaidis, Joseph J. Lim, Gaurav S. Sukhatme. Auto-conditioned Recurrent Mixture Density Networks for Learning Generalizable Robotic Manipulation Skills. In Southern California Robotics Symposium (SCR), 2019. [pdf] [bibtex]
  • Zhanpeng He*, Ryan Julian*, Eric Heiden, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman. Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing. In Conference on Neural Information Processing System 2018 Deep Reinforcement Learning Workshop. [pdf] [bibtex]

Preprints

  • Eric Heiden*, David Millard*, Hejia Zhang and Gaurav S. Sukhatme. Interactive Differentiable Simulation. In ArXiv. [aiXiv] [bibtex]
  • Hejia Zhang, Eric Heiden, Stefanos Nikolaidis, Joseph J. Lim and Gaurav S. Sukhatme. Auto-conditioned Recurrent Mixture Density Networks for Learning Generalizable Robot Skills. In ArXiv. [pdf] [poster] [aiXiv] [bibtex]

Teaching

  • USC Robotics (CSCI 545) - Tutor (Fall 2019)

Awards

  • NeurIPS Travel Award, 2019
  • Viterbi Best Research Award, USC, 2019
  • Third-Class Scholarship for Outstanding Merits, ZJU, 2015 – 2016
  • Second-Class Scholarship for Outstanding Merits, ZJU, 2013 – 2014

Services

  • Reviewer: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) - 2019
  • Reviewer: IEEE International Conference on Robotics and Automation (ICRA) - 2020
  • Reviewer: ACM/IEEE International Conference on Human-Robot Interaction (HRI) - 2020