Marisol Osorio
Papers
1
Total Citations
7
H-Index
1
About
Marisol Osorio is a leading researcher at the intersection of rehabilitation robotics and human-robot interaction, with a primary focus on developing intelligent, adaptive systems for lower limb rehabilitation. Her most cited work introduces novel torque estimation methods for lower limb rehabilitation robotic systems (LLRRs) that operate under real-world uncertainties, addressing a critical challenge in the field: the high cost and impracticality of direct torque sensors. By leveraging indirect encoder-based estimation strategies, Osorio enables real-time, accurate feedback of patient-applied torque, a key requirement for successful isotonic exercises during therapy. This innovation allows rehabilitation robots to dynamically adapt to each user’s effort, making treatments more effective and personalized. With over 7 citations on this foundational paper alone, her contributions are shaping the next generation of affordable, sensor-efficient robotic therapy devices. Osorio’s work stands out for its practical engineering solutions to complex control problems, bridging the gap between theoretical robotics and clinical rehabilitation needs, and positioning her as a rising authority in assistive robotic technologies.
Research Focus
Key Achievements
Top Papers
- 1