Max Robotics — Global Service Robot Directory + US Certification

About

Masoud Moghani is at the forefront of surgical robotics, pioneering the integration of artificial intelligence and advanced actuation to create safer, more capable surgical assistants. His research spans three key areas: physics-based surgical simulation, novel actuator design, and language-guided robotic control. Moghani’s most impactful contribution is **Orbit-Surgical** (2024, 27 citations), an open-source simulation framework that provides a fast, accurate environment for training surgical robots—a critical tool accelerating progress in the field. He also developed a hybrid Magneto-Rheological clutch (2016, 25 citations) that enhances safety in robotic applications by intelligently combining electromagnetic coils and permanent magnets. Demonstrating his versatility in soft robotics, Moghani designed a steerable tip using dielectric elastomer actuators (2023, 12 citations), enabling operation in confined anatomical pathways. His recent work, **SuFIA** (2024, 9 citations), represents a breakthrough by using large language models to translate natural language commands into precise surgical actions, while **SuFIA-BC** (2025) addresses the critical challenge of generating high-quality demonstration data for visuomotor policy learning. With a growing citation impact and a clear trajectory toward autonomous, intelligent surgical assistance, Moghani is shaping the next generation of robot-assisted surgery.