Kuncai Yang

Papers

Total Citations

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About

Dr. Kuncai Yang is a dedicated researcher in the field of rehabilitation robotics, with a primary focus on lower limb exoskeleton systems designed to restore mobility for patients with motor dysfunction. His work addresses critical challenges in human-robot interaction, particularly the need for precise, adaptive control to ensure safe and effective rehabilitation training. Dr. Yang’s major contributions include the development of a novel subsection-based mix position controller for exoskeleton robots, which enhances trajectory tracking accuracy—a fundamental requirement for coordinated therapy. He has also pioneered the use of an Adaptive Unscented Kalman Filter (UKF) for parameter estimation in compliant man-machine dynamic models, moving beyond rigid-body assumptions to achieve better human-robot synchronization. Furthermore, his design of an intelligent weight support system that dynamically coordinates with gait training represents a significant advancement over traditional static systems. While his most-cited works (with 4, 3, and 2 citations respectively) are early-stage publications, they lay the groundwork for more sophisticated, patient-responsive rehabilitation technologies. Dr. Yang’s research is pivotal for engineers and clinicians seeking to create more natural, effective robotic therapies for lower limb recovery.