Papers
33
Total Citations
287
H-Index
10
About
Woosung Yang is a robotics researcher whose work spans biologically inspired control systems, wearable exoskeleton technology, and human-robot interaction. His research career reflects a coherent trajectory from neural oscillator-based motion control toward sophisticated collaborative robotics systems designed for real-world human use. Yang's early contributions focused on central pattern generators (CPGs) and neural oscillators as frameworks for rhythmic, adaptive robot motion, with foundational papers from 2007–2011 collectively garnering over 75 citations. His 2010 work on CPG-based multi-DOF robotic arm control (36 citations) remains his most influential, demonstrating how biological locomotion principles can be translated into practical robotic architectures. His subsequent research pivoted toward assistive exoskeleton design, producing notable work on knee-assistive devices for aging and industrial populations, including the KARE-1 system employing conditionally singular mechanisms for energy-efficient joint support. More recently, Yang has advanced human-robot interaction through variable admittance control and frequency-domain observer methods, enabling robots to distinguish operator intent from environmental disturbances safely and sensitively. His 2021 wrist interface using a coaxial spherical parallel mechanism further demonstrates his expertise in dexterous, human-compatible robotic hardware. With over 170 cumulative citations, Yang's research meaningfully bridges biomechanics, control theory, and rehabilitative robotics.
Research Focus
Key Achievements
Top Papers
- 1CPG based self-adapting multi-DOF robotic arm control36 citations · 2010
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- 6Optimizing Neural Oscillators for Rhythmic Movement Control15 citations · 2007
- 7Entrainment-enhanced neural oscillator for rhythmic motion control13 citations · 2008
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