Prof Xie’s research is in the areas of advanced mechatronics and robotics in medicine and high value industries.

His principal research interest is in the development of new robotic technologies for a wide range of applications ranging from rehabilitation, medical surgery, and personal assistance to industrial applications. His research approach is to use a combination of mathematical modelling techniques, mechatronic methods, and experimental measurements to better understand human systems, design smart and robust robotic devices and automatically control them interacting with human. More specifically, his main research interests include:

  • Robotics fundamentals 
    Parallel robotic mechanisms, bio-inspired and energy-efficient robotic mechanisms
    Reconfigurable robotic mechanisms and wearable robotics
  • Assistive robotics, Exoskeletons and AI 
    Exoskeletons/robots for ankle joint rehabilitation, wrist and finger exoskeleton, gait exoskeleton, wrist joint exoskeleton, and upper limb exoskeleton
    Interactive computer games, disability assessment techniques.
    Movement sequence optimisation and evaluation, measurement of sports performance and robot assisted training
  • Rehabilitation and Assistive Robotics for stroke patients and elderly care
    Exoskeletons/robots for stroke rehabilitation, low cost orthotics for stroke rehabilitation in developing countries
    Interactive robots for elderly people
    Robotics for patients with CP and SPI
  • Robots for orthopedic surgery
    Long bone fracture reduction, fracture biomechanics, robot assisted surgery, 3D bone reconstruction and virtual surgery
  • Physical human-robot interaction
    Advanced control strategies, modelling of human joint mechanics together with robots, effective human-robot interaction strategies, industrial robots
  • Soft robotics
    Wearable sensors and actuators, Dielectric elastomer sensors and actuators, energy harvesters, penumatic artificial muscles for exoskeletons
  • Neuromuscular interfaces and Brain-computer interfaces
    EMG-based neuromuscular interface for elbow joint, human jaw and knee joint, understand human movements
    SSVEP based BCI and hybrid BCI, BCI for robot/exoskeleton control, monitoring brain measurements of stroke, SCI and CP patients
  • Robots for agricultural and underwater applications
    Food sorting machines, orchard robots, forestry robots, underwater robot for hull cleaning