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.

News & Updates

  • New arXiv paper: Y. Huang. EKMP: Generalized imitation learning with adaptation, nonlinear hard constraints and obstacle avoidance, arXiv:2103.00452, 2021. [Link]
  • New paper: F. J. Abu-Dakka, Y. Huang, J. Silvério, and V. Kyrki. A probabilistic framework for learning geometry-based robot manipulation skills, Robotics and Autonomous Systems (RAS), 2021. 
  • 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 some 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>