Margaret Pires-Fernandes
Papers
3
Total Citations
71
H-Index
3
About
Margaret Pires-Fernandes is a leading researcher in the field of rehabilitation robotics and human biomechanics, with a primary focus on robot-assisted gait training for neurological recovery. Her work addresses the critical challenge of developing intelligent controllers for robotic gait training devices that can promote meaningful, goal-oriented improvements in walking function. Through her highly cited 2019 study (50 citations), Pires-Fernandes systematically investigated how stride length and gait speed interact to affect lower extremity joint kinetics, providing essential biomechanical data for designing more effective rehabilitation protocols. Her 2017 paper (13 citations) further advanced the field by exploring the complex relationship between robotic input parameters and human gait response, laying groundwork for controllers that can actively shape desired gait features rather than simply providing passive assistance. Pires-Fernandes’ research bridges the gap between fundamental biomechanics and clinical application, offering critical insights for engineers and clinicians working to optimize robotic rehabilitation after neurological injury. Her work has become foundational for researchers developing next-generation gait training technologies that can adapt to individual patient needs and promote more natural, functional walking patterns.
Research Focus
Key Achievements
Top Papers
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