Emese Papp
Papers
1
Total Citations
70
H-Index
1
About
Dr. Emese Papp is a leading researcher in rehabilitation robotics, with a primary focus on developing intelligent, user-centered assistive technologies for individuals with motor impairments. Her most-cited work, "EMG-Driven Machine Learning Control of a Soft Glove for Grasping Assistance and Rehabilitation" (2022, 70 citations), addresses a critical challenge in the field: achieving precise, intuitive control of soft, compliant hand exoskeletons without sacrificing lightness or flexibility. By integrating electromyographic (EMG) signals with machine learning algorithms, Dr. Papp has pioneered a control paradigm that enables transparent, real-time adaptation to user intent, significantly improving grasping assistance and rehabilitation outcomes. Her contributions bridge the gap between soft robotics and neural control, offering a scalable solution for home-based therapy. Beyond this flagship study, her research portfolio encompasses sensor fusion, human-robot interaction, and personalized rehabilitation strategies. With her work garnering growing attention from both engineering and clinical communities, Dr. Papp is recognized for advancing the practicality of soft robotic gloves, moving them closer to widespread clinical adoption and empowering patients with greater independence.
Research Focus
Key Achievements
Top Papers
- 1