Papers
1
Total Citations
13
H-Index
1
About
Kaige Yang is a researcher focused on the intersection of rehabilitation robotics, human motion analysis, and assistive exoskeleton technologies. Their work centers on improving the dynamic stability and safety of lower limb exoskeleton robots, particularly during complex movements like stair climbing—a critical challenge for real-world rehabilitation and mobility assistance. Yang’s most cited paper, "Human Motion Capture System Based 3D Reconstruction on Rehabilitation Assistance Stability of Lower Limb Exoskeleton Robot Climbing Upstairs Posture" (2019), introduces a novel framework that integrates motion capture and 3D reconstruction to analyze how shifts in the system’s center of gravity affect human-machine stability during stair ascent. This contribution provides a foundational diagram for understanding posture-dependent stability, directly informing the design of safer, more adaptive exoskeletons. With 13 citations, this work underscores Yang’s impact in advancing biomechanical modeling for assistive robotics. Their research holds promise for enhancing the rehabilitation outcomes of individuals with lower limb impairments, bridging the gap between theoretical stability analysis and practical exoskeleton control.
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