Papers

14

Total Citations

329

H-Index

10

About

Jonathan Casas is a leading researcher at the intersection of fiber-optic sensing, social robotics, and rehabilitation engineering. His work is defined by two core contributions: pioneering the use of additive manufacturing to create highly sensitive fiber Bragg grating temperature sensors (a 2018 paper with 92 citations), and developing socially assistive robots (SAR) for cardiac rehabilitation. In a landmark series of studies, Casas demonstrated how personalized SARs can effectively guide patients through long-term recovery, including a notable 35-session case study with a post-heart-attack patient. His research critically examines the gap between patient expectations and the reality of robot-assisted therapy, providing essential insights for real-world deployment. Beyond social interaction, Casas has advanced closed-loop control for hybrid lower-limb exoskeletons and designed polymer optical-fiber strain-gauge sensors for wearable assistive robots. With over 300 total citations, his work bridges hardware innovation and human-centered design, establishing him as a key figure in creating intelligent, sensor-rich robotic systems that enhance patient outcomes in cardiac and physical rehabilitation.

Research Focus

Key Achievements

10
H-Index
14
Papers
329
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Application of Additive Layer Manufacturing Technique on the Development of High Sensitive Fiber Bragg Grating Temperature Sensors
92 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Escuela Colombiana de Ingenieria Julio Garavito, Syracuse University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago