Papers
2
Total Citations
9
H-Index
2
About
Ang Ke’s research sits at the intersection of biomedical engineering and intelligent robotics, with a focus on developing practical, clinically deployable systems. His work spans two critical areas: neural-controlled prosthetics and surgical robotics. In his foundational 2016 paper, “SoC-based Architecture for Robotic Prosthetics Control Using Surface Electromyography” (6 citations), Ke addressed a key limitation in prosthetics—extendibility in real-world scenarios—by designing a system-on-chip architecture that balances control accuracy with practical usability for amputees and partially paralyzed individuals. This work laid groundwork for more adaptive, real-time neural interfaces. More recently, Ke has advanced surgical precision with his 2025 paper, “A novel robotic system based on heterogeneous master–slave control algorithm: design and its clinical application in endoscopic submucosal dissection” (3 citations). Here, he introduced a heterogeneous control algorithm that enables a master-slave robotic system to perform delicate endoscopic procedures with enhanced dexterity and safety. By bridging the gap between theoretical control algorithms and clinical application, Ke’s contributions demonstrate a clear trajectory toward making robotic assistance both more intelligent and more accessible in healthcare. His work continues to inspire researchers seeking to integrate robotics with human physiology for tangible medical impact.
Research Focus
Key Achievements
Top Papers
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