Ester Marquez-Sanchez
Papers
1
Total Citations
11
H-Index
1
About
Ester Marquez-Sanchez is a leading researcher in the fields of wearable robotics, rehabilitation engineering, and human-machine interaction. Her work focuses on bridging the gap between robotic assistive devices and the human neuromuscular system, with a particular emphasis on restoring and enhancing locomotion for individuals with motor impairments. Her most-cited paper, "A flexible architecture to enhance wearable robots: Integration of EMG-informed models" (2015, 11 citations), introduces a novel framework that leverages electromyographic (EMG) signals to inform robotic control, enabling more intuitive and adaptive assistance. This contribution addresses a critical challenge in the field—creating wearable robots that respond seamlessly to user intent. By integrating physiological data into robotic architectures, Marquez-Sanchez has advanced the development of smarter, more personalized rehabilitation tools. Her work underscores the importance of flexibility and user-centered design in assistive technologies, making her a key figure in the ongoing effort to translate robotic innovations into clinical and daily-life applications.
Research Focus
Key Achievements
Top Papers
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