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About

Danny Schott is a researcher at the forefront of human-robot interaction in medicine, specializing in multimodal interfaces, augmented reality (AR), and touchless control for surgical robotics. His work addresses a critical challenge: enabling surgeons to interact with robotic systems intuitively and safely without compromising sterility. Schott’s most-cited paper, “A multimodal user interface for touchless control of robotic ultrasound” (2022, 13 citations), pioneers non-tactile interaction approaches for robotic ultrasound, a domain few have explored. He further advances the field with “AR-Supported Supervision of Conditional Autonomous Robots” (2022, 8 citations), which envisions how AR can enable surgeons to supervise increasingly autonomous robots during pedicle screw placement. His systematic review “Multimodal human–computer interaction in interventional radiology and surgery” (2024, 7 citations) consolidates knowledge on touchless and multimodal systems, serving as a key resource for researchers. Schott also contributes to practical AR deployment with “Interactive Registration Methods for Augmented Reality in Robotics” (2023, 3 citations), evaluating precise AR content positioning for effective human-robot collaboration. With a cumulative citation count reflecting growing influence, Schott’s work is shaping the future of safe, efficient, and sterile human-robot interaction in interventional settings.