Papers

9

Total Citations

366

H-Index

9

About

Faye Wu is a pioneering robotics researcher whose work sits at the intersection of human augmentation, wearable robotics, and assistive technology. Her research has focused primarily on supernumerary robotic fingers — innovative wearable devices that extend human grasping capability beyond natural biological limits — with profound implications for healthcare, rehabilitation, and industrial applications. Wu's most influential contributions include developing intuitive control frameworks for wearable robotic fingers, most notably her data-driven partial least squares approach (78 citations) that enables seamless, implicit grasp posture control. Her foundational work on "bio-artificial synergies" (75 citations) established how wrist-mounted robotic fingers can naturally complement human hand movements, while her "hold-and-manipulate" research (61 citations) demonstrated transformative possibilities for single-handed task performance, particularly for amputees and stroke survivors. Beyond augmentation, Wu has explored supernumerary fingers as prosthetic alternatives (38 citations), therapeutic devices for hemiparetic patients, and soft pneumatic variable-stiffness structures for next-generation wearable systems. Her earlier work also addressed MRI-guided robotic cryoablation systems, reflecting a broad technical range. With over 366 cumulative citations across her major publications, Wu's research has meaningfully advanced the field of human-robot collaboration and restorative assistive technology.

Research Focus

Key Achievements

9
H-Index
9
Papers
366
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
Implicit and Intuitive Grasp Posture Control for Wearable Robotic Fingers: A Data-Driven Method Using Partial Least Squares
78 citations · 2016
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Massachusetts Institute of Technology, IIT@MIT, Manus Bio (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago