Guizhong Wu

About

Dr. Guizhong Wu is a leading figure in rehabilitation robotics, specializing in the development of intelligent lower limb exoskeletons that restore mobility to individuals with paralysis or gait impairments. His research uniquely bridges mechanical design, human-robot interaction, and neural engineering. Dr. Wu’s most impactful contribution is a flexible, bioinspired exoskeleton capable of adapting to users of varying heights (150–185 cm) and identifying complex locomotion modes—a system detailed in his most-cited paper (37 citations). He has also pioneered robust gait phase prediction algorithms (25 citations) to eliminate control lag, and has advanced brain-computer interface (BCI) technologies for exoskeleton control, including a motor imagery-based system enabling walk, sit, and stand commands via EEG decoding. His work on steady-state visual evoked potentials (SSVEP) and self-adaptive control strategies for sit-to-stand transitions further demonstrates his commitment to practical, user-centric solutions. With a cumulative impact of over 70 citations, Dr. Wu’s research is foundational to the next generation of intuitive, responsive assistive devices, making him a key innovator in the field of wearable robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   A Flexible Lower Extremity Exoskeleton Robot with Deep Locomotion Mode Identification

   37 citations · 2018
2. 2
   Gait phase prediction for lower limb exoskeleton robots

   25 citations · 2016
3. 3
   A control system of lower limb exoskeleton robots based on motor imagery

   7 citations · 2017
4. 4
   Implementation of brain-computer interface based on SSVEP for control of a lower-limb exoskeleton

   3 citations · 2016
5. 5
   Self-adaptive control strategy for exoskeleton to help paraplegic patients stand up and sit down

   2 citations · 2016

Key Collaborators

Contact & Links