Max Robotics — Global Service Robot Directory + US Certification

About

Greg Osgood is a pioneering researcher at the intersection of surgical robotics, medical imaging, and orthopaedic trauma surgery. His work focuses on developing intelligent, image-guided robotic systems designed to improve precision and safety in complex surgical procedures, particularly pelvic fracture fixation — a domain notorious for its reliance on repetitive, radiation-intensive fluoroscopic guidance. Osgood's most influential contribution, "Take a Shot! Natural language control of intelligent robotic X-ray systems in surgery" (2024, 16 citations), exemplifies his drive to make advanced surgical technology intuitive and accessible, enabling surgeons to direct robotic C-arm systems through spoken commands. Complementing this, his work on autonomous X-ray acquisition and interpretation (2023, 11 citations) and 2D/3D image registration visualization (2023, 10 citations) demonstrates a sustained commitment to reducing intraoperative radiation exposure while enhancing surgical accuracy. Across his portfolio — spanning robotic k-wire placement, mixed reality interfaces, and fluoroscopically guided robotic assistants — Osgood has helped lay the technical and clinical groundwork for next-generation computer-assisted orthopaedic surgery. With over 50 cumulative citations across recent publications, his research is gaining meaningful traction, offering students and clinicians a compelling vision of safer, smarter operating rooms.