Max Robotics — Global Service Robot Directory + US Certification

About

Amine Yamlahi is a rising researcher at the forefront of surgical data science and intelligent robotic systems, with a primary focus on enhancing minimally invasive surgery through artificial intelligence and collaborative robotics. His work centers on developing context-aware models that enable surgical robots to understand and anticipate procedural steps, particularly in laparoscopic cholecystectomy—a cornerstone of general surgery. Yamlahi’s major contribution includes the creation of a surgical activity model that formalizes the workflow of this common procedure, designed specifically to facilitate seamless co-operation between human surgeons and collaborative robots (cobots). This model addresses critical challenges in an aging society, where surgical staff shortages demand smarter automation. His research has already garnered attention, with his 2024 paper on surgical activity modeling receiving 9 citations, and his involvement in the PhaKIR 2024 challenge—a comparative validation of phase recognition, keypoint estimation, and instrument segmentation—demonstrates his commitment to benchmarking and advancing endoscopic AI. Yamlahi’s work is not only technically rigorous but also deeply practical, aiming to reduce surgeon workload and improve patient outcomes. For students and researchers, his trajectory highlights the exciting intersection of computer vision, robotics, and clinical workflow analysis.