Max Robotics — Global Service Robot Directory + US Certification

About

P. del Saz-Orozco is a researcher whose work sits at the intersection of robotics, minimally invasive surgery, and human-machine interaction. His primary research areas include surgical robotics, computer-assisted surgery, and the development of intelligent interfaces for robotic assistants. His major contributions focus on creating robotic systems designed to assist surgeons in complex laparoscopic procedures, particularly Single Incision Laparoscopic Surgery (SILS). Notably, he developed a robotic assistant for HALS–SILS techniques and a miniature camera robot with magnetic pan and tilt capabilities, addressing key ergonomic and visualization challenges in single-site surgery. A central theme of his work is the automation of surgical tasks through movement recognition. He pioneered the use of Artificial Neural Networks and hidden Markov models to recognize surgical maneuvers, a critical step toward enabling a two-arm surgical robotic system to autonomously coordinate with a surgeon. His most cited paper (13 citations) details a minimally invasive surgery robotic assistant, while his work on maneuver recognition (11 citations) lays the groundwork for a multimodal interface between surgeon and robot. Through these efforts, del Saz-Orozco has advanced the frontier of intelligent, collaborative surgical robotics.