Yabo Wang
Papers
2
Total Citations
7
H-Index
2
About
Yabo Wang is a robotics researcher specializing in bio-inspired locomotion, rehabilitation exoskeletons, and human-robot interaction. Their work bridges mechanical design and neural control, with a focus on creating adaptive, human-centered robotic systems. In their 2017 study on bipedal walking, Wang developed a trajectory generation method for a 3D-printed biped robot that mimics natural human gait using video-captured motion data and Zero Moment Point (ZMP) criteria—enabling faster, customized robot fabrication with more natural movement patterns. That paper has accumulated 5 citations, reflecting early interest in integrating additive manufacturing with gait synthesis. Wang also contributed to assistive robotics with a 2017 paper on an EMG-driven elbow exoskeleton for active tracking of flexion and extension. This work addressed a critical gap in rehabilitation by moving beyond passive repetitive motions to active, muscle-signal-controlled assistance, aiming to improve neurological recovery for patients with motor impairments. Although citation counts for these works are modest, they represent foundational steps in personalized robotics and neurorehabilitation—areas with growing relevance as 3D printing and biosignal control technologies mature. Wang’s research continues to explore how robots can learn from and respond to human physiology.
Research Focus
Key Achievements
Top Papers
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