Papers
2
Total Citations
9
H-Index
2
About
Pedro Teodoro’s research lies at the intersection of robotics, medical image processing, and orthopedic surgery, with a focus on enhancing precision in robot-assisted procedures. His major contributions include developing fractional-order image processing techniques to extract critical anatomical information—such as femoral head-neck orientation from CT scans—enabling more accurate prosthesis implantation. He has also advanced force and position control strategies for flexible robot manipulators, addressing a long-standing challenge in orthopedic surgery: maintaining safe, adaptive force control during bone cutting or implant placement. Although his most-cited works—a 2017 paper on fractional-order medical image processing (6 citations) and a 2009 study on robot manipulator control (3 citations)—reflect a niche but impactful body of work, his ideas are foundational for improving surgical accuracy and reducing procedure times. Teodoro’s research directly supports the growing field of robotic orthopedic surgery, where even small improvements in image analysis or force control can significantly enhance patient outcomes. His work demonstrates a clear trajectory from theoretical control methods to practical, image-guided surgical applications, marking him as a dedicated contributor to the advancement of medical robotics.
Research Focus
Key Achievements
Top Papers
- 1Fractional Order Image Processing of Medical Images6 citations · 2017
- 2