Ioar Rivas
Papers
1
Total Citations
11
H-Index
1
About
Dr. Ioar Rivas is a leading researcher in surgical robotics and human-robot interaction, with a primary focus on automating laparoscopic procedures. Her most-cited work, "Maneuvers recognition in laparoscopic surgery: Artificial Neural Network and hidden Markov model approaches" (2012, 11 citations), pioneered the use of machine learning—specifically artificial neural networks and hidden Markov models—to recognize and classify surgical maneuvers. This foundational research represents a critical first step toward enabling autonomous robotic assistants to coordinate seamlessly with surgeons during minimally invasive operations. By developing systems that can interpret complex surgical movements, Dr. Rivas is helping to bridge the gap between human expertise and robotic precision. Her contributions are particularly impactful in advancing the safety and efficiency of robotic-assisted surgery, where real-time maneuver recognition is essential for collaborative task execution. Though early in her citation trajectory, her work has laid important groundwork for future innovations in surgical automation, positioning her as a promising voice in the field of medical robotics and intelligent surgical systems.
Research Focus
Key Achievements
Top Papers
- 1