Yu-Wei Liao
Papers
1
Total Citations
10
H-Index
1
About
Yu-Wei Liao is a researcher at the intersection of robotics, biomechanics, and human motor control, with a focus on understanding and modeling the dynamics of the human arm. His most-cited work, "Identifying inverse human arm dynamics using a robotic testbed" (2014, 10 citations), introduces a novel experimental method that uses a robotic manipulator to drive a person's hand along smooth reaching trajectories while simultaneously measuring joint motion and interaction forces. By fitting a model that predicts shoulder and elbow torques from kinematic data, Liao provides a powerful tool for characterizing the inverse dynamics of the human arm—an essential step for designing more intuitive human-robot interfaces, assistive devices, and rehabilitation robots. This work bridges engineering and neuroscience, offering a reproducible, data-driven approach to studying how the central nervous system plans and executes movement. Though his citation count is modest, Liao’s contribution is foundational for researchers working on robot-aided motor learning, exoskeleton control, and neuromuscular modeling, making his testbed a valuable resource for advancing both robotic and clinical applications.
Research Focus
Key Achievements
Top Papers
- 1Identifying inverse human arm dynamics using a robotic testbed10 citations · 2014