Dr Yanlong Huang

Dr Yanlong Huang


I am a university academic fellow at the school of computing, University of Leeds. My research mainly focuses on imitation learning, optimal control, reinforcement learning, motion planning and their applications to robotic systems. I received my Ph.D. degree from Institute of Automation, Chinese Academy of Sciences, Beijing, China. After that, I carried out my research as a postdoctoral researcher in Max-Planck Institute for Intelligent Systems and Italian Institute of Technology.

News & Updates

  • New paper: Y. Huang, F. J. Abu-Dakka, J. Silvério, and D. G. Caldwell. Towards orientation learning and adaptation in Cartesian space, IEEE Transactions on Robotics (T-RO), 2020. 
  • New paper: J. Ding, X. Xiao, N. Tsagarakis, and Y. Huang. Robust gait synthesis combining constrained optimization and imitation learning, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, 2020. 
  • New paper: Y. Huang and D. G. Caldwell. A linearly constrained nonparametric framework for imitation learning, IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020.

Selected Publications

Research interests

I have been focusing on developing generic approaches for robot skill learning and optimization. Specifically, my research topics comprise imitation learning, optimal control, reinforcement learning and motion planning. Please see part of my research videos as follows.

<h4>Postgraduate research opportunities</h4> <p>We welcome enquiries from motivated and qualified applicants from all around the world who are interested in PhD study. Our <a href="https://phd.leeds.ac.uk">research opportunities</a> allow you to search for projects and scholarships.</p>
    <li><a href="//phd.leeds.ac.uk/project/665-constrained-robot-skill-learning-from-few-examples">Constrained Robot Skill Learning From Few Examples</a></li>