Yousi A. Oquendo
Papers
4
Total Citations
21
H-Index
3
About
Yousi A. Oquendo is a leading researcher at the intersection of robotic surgery, motor learning, and human factors engineering. Their work focuses on optimizing surgical training for teleoperated robotic systems, particularly in minimally invasive and spine surgery. Oquendo’s major contributions include pioneering the use of haptic guidance and error amplification—where exaggerated force feedback helps trainees learn faster and with greater precision—as demonstrated in their highly cited 2024 study on virtual surgical robotic training environments. They have also advanced the understanding of surgeon cognitive workload, showing in a prospective trial that robotic-assisted navigation in spinal fusion significantly reduces mental fatigue compared to traditional fluoroscopic and CT techniques, with implications for both patient safety and surgeon well-being. With over 20 citations across their most influential papers, Oquendo’s work on multi-day surgical training with divergent and convergent force fields has been recognized for its potential to accelerate skill acquisition in realistic virtual environments. Their research is shaping the future of surgical education, making complex procedures safer and more efficient.
Research Focus
Key Achievements
Top Papers
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