Papers
9
Total Citations
94
H-Index
6
About
Baoyuan Wu is a robotics researcher whose work spans humanoid robot sensing systems, wearable assistive technologies, and inspection robotics. His most significant contributions lie in the design and optimization of multi-axis force/torque sensors integrated into humanoid robot feet, with his 2011 paper on optimum sensor design standing as his most influential work with 40 citations. This research addresses the critical challenge of enabling humanoid robots to navigate uneven terrain through sophisticated perceptual foot systems capable of detecting contact forces and pressure distributions. Wu's earlier work in the mid-2000s established his interest in human-robot interaction, particularly through the development of power-assisted walking legs (PAWLs) — exoskeleton-type devices designed to enhance strength and endurance for healthy users as well as individuals with mobility impairments due to injury, aging, or paralysis. These contributions, though more modestly cited, reflect meaningful early-stage innovation in assistive robotics. Beyond humanoid systems, Wu has expanded into inspection robotics, contributing to long-reach robotic systems for nuclear fusion vessel inspection and flexible snake-like robots for confined-space navigation. His diverse portfolio reflects a researcher consistently drawn to real-world applications where robots must reliably sense and interact with complex physical environments.
Research Focus
Key Achievements
Top Papers
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- 5DEVELOPMENT OF AN INTEGRATED PERCEPTUAL FOOT SYSTEM FOR HUMANOID ROBOTS6 citations · 2012
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