What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Electrical engineering
The scientist’s investigation covers issues in Robot, Rehabilitation, Control theory, Simulation and Physical medicine and rehabilitation.
His Robot study contributes to a more complete understanding of Artificial intelligence.
His biological study deals with issues like Gait, which deal with fields such as Implementation, Variety and Human–computer interaction.
He has included themes like Ankle and Fuzzy logic in his Control theory study.
His Simulation study integrates concerns from other disciplines, such as Robot kinematics, Pneumatic actuator and Robot control.
His work carried out in the field of Physical medicine and rehabilitation brings together such families of science as Rehabilitation robot, Physical therapy and Rehabilitation robotics.
His most cited work include:
- Exoskeleton robots for upper-limb rehabilitation: State of the art and future prospects (307 citations)
- Recent development of mechanisms and control strategies for robot-assisted lower limb rehabilitation (198 citations)
- Adaptive Impedance Control of a Robotic Orthosis for Gait Rehabilitation (136 citations)
What are the main themes of his work throughout his whole career to date?
Sheng Quan Xie mainly focuses on Robot, Simulation, Control theory, Actuator and Rehabilitation.
His Robot research incorporates elements of Ankle and Control.
His studies deal with areas such as Mechanism, Gait, Parallel manipulator, Work and Robot kinematics as well as Simulation.
His study looks at the relationship between Actuator and topics such as Control engineering, which overlap with Robot control and Wearable computer.
Many of his studies on Rehabilitation apply to Physical medicine and rehabilitation as well.
The various areas that Sheng Quan Xie examines in his Physical medicine and rehabilitation study include Stroke and Physical therapy.
He most often published in these fields:
- Robot (30.59%)
- Simulation (26.67%)
- Control theory (19.22%)
What were the highlights of his more recent work (between 2016-2021)?
- Robot (30.59%)
- Simulation (26.67%)
- Rehabilitation (20.78%)
In recent papers he was focusing on the following fields of study:
Sheng Quan Xie mainly investigates Robot, Simulation, Rehabilitation, Control theory and Physical medicine and rehabilitation.
His Robot research is multidisciplinary, relying on both Ankle, Control, Control theory and Trajectory.
His study in Simulation is interdisciplinary in nature, drawing from both Control system, Mechanism, Rehabilitation training, Work and Range of motion.
His biological study spans a wide range of topics, including Gait, Stroke patient, Sliding mode control, Adaptation and Artificial intelligence.
His work on Actuator, Nonlinear system and Reference model as part of his general Control theory study is frequently connected to Convergence, thereby bridging the divide between different branches of science.
His Physical medicine and rehabilitation study combines topics from a wide range of disciplines, such as Robotics and Identification.
Between 2016 and 2021, his most popular works were:
- Robust Iterative Feedback Tuning Control of a Compliant Rehabilitation Robot for Repetitive Ankle Training (61 citations)
- Adaptive Patient-Cooperative Control of a Compliant Ankle Rehabilitation Robot (CARR) With Enhanced Training Safety (47 citations)
- A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning (45 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Electrical engineering
Sheng Quan Xie mostly deals with Robot, Ankle, Rehabilitation, Control theory and Physical medicine and rehabilitation.
His work deals with themes such as Gait, Control, Simulation, Torque and Actuator, which intersect with Robot.
His research integrates issues of Robot end effector and Haptic technology in his study of Ankle.
His studies link Parallel manipulator with Rehabilitation.
His work on Control theory deals in particular with Trajectory and Control theory.
His Physical medicine and rehabilitation study combines topics in areas such as Ankle rehabilitation, Robotics and Artificial intelligence.
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