Papers
1
Total Citations
34
H-Index
1
About
Xiao Ma is a robotics and control systems researcher whose work focuses on the development of advanced control strategies for rehabilitation and assistive robotic technologies. His most recognized contribution lies in the design of robust, finite-time control frameworks for upper-limb exoskeleton systems — complex mechatronic devices intended to assist individuals with motor impairments. In his most-cited work (34 citations), Ma pioneered the integration of a finite-time disturbance observer with terminal sliding mode control for a 5-DOF upper-limb exoskeleton, addressing the persistent challenges of system uncertainties and external disturbances that compromise the safety and precision of such devices. This hybrid control strategy demonstrated notable improvements in stability and response time, advancing the reliability of human-robot interaction in therapeutic settings. Ma's research sits at the intersection of nonlinear control theory, disturbance rejection, and rehabilitation engineering — fields of growing importance as aging populations worldwide drive demand for intelligent assistive technologies. His contributions offer meaningful practical value, providing a rigorous theoretical foundation that supports the development of safer and more effective exoskeleton systems for clinical and real-world applications.
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