Dr Weiguang Huo

Weiguang Huo is a Research Associate at the Department of Mechanical Engineering of Imperial College London. He works with Dr Ravi Vaidyanathan to develop machine-learning-based methods to quantify Parkinson’s disease symptoms using wearable sensors as well as control algorithms for lower-limb exoskeletons. He received his M.S. in Control Theory and Control Engineering in 2012 from Huazhong University of Science and Technology, China, where he worked on control approaches of an upper-limb exoskeleton. He received his Ph.D. in Signal, Image and Automatic in 2016 from the University of Paris-Est, France, where worked on human-motion-intention based control algorithms for lower limb exoskeletons. Subsequently, he worked as a postdoctoral researcher at the same university until 2018. He focused on developing and clinically evaluating functional electrical stimulation (FES) algorithms for correcting the foot-drop of paretic patients. 

His research interests include human motion intention estimation, modelling and control of wearable robots, functional electrical stimulation, and machine learning.

 

Email: w.huo@imperial.ac.uk

 

Selected Publications

  • Huo. W, M. A. Alouane, Y. Amirat and S. Mohammed, “Force Control of SEA-based Exoskeletons for Multimode Human-Robot Interactions", IEEE Transactions on Robotics, DOI:10.1109/TRO.2019.2956341, 2019.
  • Huo. W, V. A. Paniagua, G. Ding, Y. Amirat and S. Mohammed, “Adaptive Proxy-based Controller of an Active Ankle-Foot Orthosis to Assist Lower Limb Movements of Paretic Patients", Robotica, vol.37, pp. 2147-2164, 2019.
  • Huo. W, S. Mohammed, and Y. Amirat, “Impedance Reduction Control of a Knee Joint Human Exoskeleton System ", IEEE Transactions on Control Systems Technology, vol. 27, no. 6, pp. 2541-2556, 2019.
  • Huo. W, S. Mohammed, Y. Amirat, and K. Kong, “Fast Gait Mode Detection and Assistive Torque Control of an Exoskeletal Robotic Orthosis for Walking Assistance", IEEE Transactions on Robotics, vol. 34, no.4, pp. 1035-1052, 2018.
  • Huo. W, S. Mohammed, J. C. Moreno, and Y. Amirat, “Lower Limb Wearable Robots for Assistance and Rehabilitation: A State of the Art", IEEE Systems Journal, vol. 10, no. 3, pp. 1068-1081, 2016.
  • S. Mohammed, W. Huo, J. Huang, H. Rifai, and Y. Amirat, “Nonlinear Disturbance Observer-Based Sliding Mode Control of a Human-driven Knee Joint Orthosis", Robotics and Autonomous Systems, vol. 75(A), pp. 41-49, 2016.
  • J. Huang, W. Huo, W. Xu, S. Mohammed, and Y. Amirat, “Control of Upper-limb Power-assist Exoskeleton Using a Human-Robot Interface Based on Motion Intention Recognition", IEEE Transactions on Automation Science and Engineering, vol. 12, no. 4, pp. 1257-1270, 2015.
  • Huo. W, V. A. Paniagua, M. Ghedira, Y. Amirat, J. M. Gracies, and S. Mohammed, “Adaptive FES Assistance Using a Novel Gait Phase Detection Approach", IEEE/RSJ International Conference on Intelligent Robot and Systems (IROS), pp. 5187-5193, 2018.
  • G. Ding, Huo. W, J. Huang, Y. Amirat, and S. Mohammed, "Robust and Safe Control of a Knee Joint Orthosis", IEEE International Conference on Intelligence and Safety for Robotics (ISR), 2018.
  • R. Mallat, V. Bonnet, W. Huo, P. Karasinski, Y. Amirat, M. Khalil, and S. Mohammed, "Human-Exoskeleton System Dynamics Identification Using Affordable Sensors", IEEE International Conference on Robotics and Automation (ICRA), pp. 6759-6765, 2018.
  • Huo. W, M. Ghedira, S. Mohammed, V. A. Paniagua, E. Hutin, and J. M. Gracies, “Effect of Knee Joint Angle-based, Adaptive Functional Electrical Stimulation of the Peroneal Nerve in Spastic Paresis: A Case Report", Annals of Physical and Rehabilitation Medicine (ISPRM 2018), vol. 61S, pp. e475-e476, 2018.
  • Huo. W, S Mohammed, Y. Amirat, and K. Kong, “Active Impedance Control of a Lower Limb Exoskeleton to Assist Sit-to-Stand Movement", IEEE International Conference on Robotics and Automation (ICRA), pp. 3530-3526, 2016.
  • Huo. W, S. Mohammed and Y. Amirat, “Observer-based Active Impedance Control of a Knee-Joint Assistive Orthosis", IEEE International Conference on Rehabilitation Robotics (ICORR), pp. 313-318, 2015.
  • Huo. W, J. Huang, Y. Wang, J. Wu, and L. Cheng, “Control of Upper-limb Power-assist Exoskeleton Based on Motion Intention Recognition", IEEE International Conference on Robotics and Automation (ICRA), pp. 2243-2248, 2011.

 

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