Max Robotics — Global Service Robot Directory + US Certification

About

Carmela Landolfo is a leading researcher in robotic-assisted minimally invasive surgery (R-MIS), with a focus on developing intelligent autonomous systems that enhance surgical precision and safety. Her work centers on multi-robot platforms and surgeon action detection, aiming to create robotic assistants that can anticipate and support a surgeon’s movements during delicate procedures. Landolfo’s major contributions include co-creating the ESAD (Endoscopic Surgeon Action Detection) dataset, a foundational resource for training AI to recognize surgical actions in real-time, which has garnered over 29 citations. She also led the technical validation of a teleoperated multi-robot platform for MIS, demonstrating its feasibility in enhancing dexterity and coordination—a study cited 19 times. Her involvement in the SARAS (Smart Autonomous Robotic Assistant Surgeon) EU consortium highlights her role in advancing autonomous surgical assistance, with her work on multi-domain action detection pushing boundaries in human-robot collaboration. Landolfo’s research, with over 58 total citations, is pivotal for safer, more efficient robotic surgery, directly impacting the next generation of surgical robotics and training systems.