Max Robotics — Global Service Robot Directory + US Certification

About

Amir Kheradmand is a rising researcher at the intersection of robotics, medical imaging, and mixed reality, whose work is shaping the future of autonomous and assistive medical systems. His primary research areas include medical robotics, hand-eye calibration, and computer vision for surgical and therapeutic applications. Kheradmand’s most notable contribution is his work on extending the Segment Anything Model (SAM) for medical image segmentation, which has already garnered 11 citations since 2024, addressing the critical challenge of adapting general-purpose foundation models to specialized clinical imaging tasks. He also developed GBEC, a geometry-based hand-eye calibration method for robotic systems, and pioneered inside-out tracking and projection mapping for robot-assisted Transcranial Magnetic Stimulation (TMS), a technique with both research and clinical relevance. His broader vision is articulated in his work on process-controlled medical robotic systems, where he explores how autonomy can reduce medical errors—a leading cause of death in the U.S. Additionally, Kheradmand has advanced human-robot interaction through mixed reality, enabling on-the-fly instrument planning and execution. With a growing citation record and a focus on translating robotic innovation into safer, more precise clinical tools, Kheradmand is an emerging voice in the next generation of medical robotics.