Junming Xiao
Papers
2
Total Citations
18
H-Index
2
About
Junming Xiao is a researcher focused on robotics and human-robot interaction, with key contributions in manipulator kinematics and adaptive control for rehabilitation systems. In his highly cited 2017 work (15 citations), Xiao pioneered the use of MATLAB toolboxes for simulating six-degree-of-freedom manipulators, establishing a foundational method for calculating kinematic equations and mapping workspace ranges—a critical step for industrial and medical robotics. Building on this, his 2019 study (3 citations) advanced lower-limb rehabilitation robotics by introducing an adaptive control strategy that prioritizes human comfort. By leveraging real human gait data as reference trajectories and minimizing inertial parameters, Xiao addressed the challenge of tailoring robotic assistance to individual patients with lower extremity dyskinesia. This work bridges the gap between precise robotic control and user-centric design, offering a path toward more natural and comfortable wearable exoskeletons. Xiao’s research demonstrates a commitment to making robotics both technically robust and human-aware, with potential applications in assistive technology and physical therapy.
Research Focus
Key Achievements
Top Papers
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- 2