Eugenia Papaleo
Università Campus Bio-Medico, Universitat de Miguel Hernández d'Elx
Papers
9
Total Citations
187
H-Index
7
About
Eugenia Papaleo is a prominent researcher in the field of robot-assisted rehabilitation, with a particular focus on adaptive systems for upper-limb motor recovery following neurological injuries such as stroke. Her work sits at the intersection of robotics, human-machine interaction, and neurorehabilitation, and she has made significant contributions to the development of patient-tailored, bio-cooperative robotic systems that dynamically respond to individual patient needs in real time. Papaleo's most influential contributions include her pioneering work on closing the patient in the control loop during robotic therapy — integrating multisensory data streams such as muscle activity, heart rate, motion, and skin conductance to create truly adaptive rehabilitation experiences. Her 2013 paper on patient-tailored adaptive robotic systems has garnered 41 citations, while her 2014 work on dynamic adaptive systems follows closely with 39. Her research into bio-cooperative multimodal interfaces, upper-limb kinematic reconstruction, and inverse kinematics algorithms has further solidified her reputation, accumulating nearly 190 citations across her key publications. Beyond clinical rehabilitation, she has also extended these principles to assistive robotics for daily living activities, demonstrating a broad, human-centered vision that continues to inspire researchers working at the frontier of rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
- 1Patient-tailored adaptive robotic system for upper-limb rehabilitation41 citations · 2013
- 2Dynamic Adaptive System for Robot-Assisted Motion Rehabilitation39 citations · 2014
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- 4Upper-limb kinematic reconstruction during stroke robot-aided therapy25 citations · 2015
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