Papers
4
Total Citations
237
H-Index
4
About
Di Ao is a leading researcher in human-robot interaction and rehabilitation robotics, with a focus on enhancing the synergy between humans and assistive technologies. Their key research areas include electromyography (EMG)-based control systems, adaptive robotics, and myoelectric pattern recognition (MPR). Ao’s major contributions are exemplified by their highly cited work on an ankle power-assist exoskeleton, which investigates how EMG-driven Hill-type and proportional models improve human-robot cooperation performance—a critical step toward intuitive, physiologically aligned control. This seminal paper has garnered 164 citations, underscoring its influence in the field. Additionally, Ao has advanced adaptive control with fuzzy tuners for cable-based rehabilitation robots (61 citations), demonstrating practical solutions for safe, responsive therapy. Their recent work on robust MPR methods (2024) addresses the challenge of reducing user calibration burdens, promising more accessible prosthetic and orthotic devices. Ao’s research also extends to computer vision-enabled HCPS assembly workstations for mass customization, showcasing versatility in applying robotics to manufacturing. With a career spanning foundational studies to cutting-edge challenges, Di Ao’s work is pivotal for students and researchers exploring the future of human-centered robotics and rehabilitation technology.
Research Focus
Key Achievements
Top Papers
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- 2Adaptive control with a fuzzy tuner for cable-based rehabilitation robot61 citations · 2016
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