Papers
3
Total Citations
16
H-Index
3
About
Fabian Joeres is a researcher at the intersection of augmented reality (AR), surgical robotics, and human-robot interaction, with a focus on advancing intraoperative assistance for complex medical procedures. His work centers on designing and evaluating AR-based systems that support surgeons in supervising autonomous robots and accessing critical information during minimally invasive surgeries. Joeres’s most-cited paper, “AR-Supported Supervision of Conditional Autonomous Robots: Considerations for Pedicle Screw Placement in the Future” (2022, 8 citations), explores how AR can enable intuitive oversight of semi-autonomous robots in orthopedic spine surgery, addressing a key challenge as robotic autonomy increases. He also contributed a cognitive task analysis (2019, 5 citations) that systematically identified surgeons’ information needs during partial nephrectomy, providing a foundational framework for user-centered software design. In his 2023 work on interactive registration methods for AR in robotics (3 citations), Joeres evaluated techniques for precise spatial alignment of AR content—critical for safe and effective human-robot collaboration. His research bridges technical development and clinical application, offering practical insights for the next generation of surgical assistance systems.
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