Ronan Sangouard
Papers
1
Total Citations
2
H-Index
1
About
Ronan Sangouard is a researcher at the forefront of human-robot interaction and neurorehabilitation, with a focus on enhancing the personalization of robotic therapy. His work centers on developing uncertainty-aware methods for assessing patient-specific limb impedance using upper-limb exoskeletons, a critical step toward tailoring rehabilitation to individual needs. In his most cited paper, "Uncertainty-aware automated assessment of the arm impedance with upper-limb exoskeletons" (2023, 2 citations), Sangouard introduces a framework that accounts for measurement uncertainty, enabling more reliable estimation of a patient's physical state. This contribution addresses a key challenge in robot-driven therapy: the need for precise, adaptive treatment strategies that respond to each patient's unique motor impairments. By improving the accuracy of impedance assessments, his research paves the way for more effective, customized neurorehabilitation protocols. Sangouard's work is particularly notable for its practical implications in clinical settings, where robust state estimation can enhance the utility of exoskeletons for stroke and spinal cord injury patients. His ongoing efforts continue to bridge robotics and rehabilitation, promising smarter, safer human-machine collaboration.
Research Focus
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Top Papers
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