Papers
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Total Citations
2
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About
Johannes Hemm is a researcher at the forefront of surgical robotics, with a primary focus on enhancing safety and precision in robot-assisted interventions. His key research areas include collision avoidance systems, human-robot interaction in the operating room, and the development of intelligent assistance frameworks for needle placement procedures. Hemm’s most notable contribution is his work on a companion system for collision avoidance during robot-assisted needle placement, a critical innovation that addresses the growing complexity of modern surgical environments. By designing strategies to prevent unintended collisions between robotic systems, surgical tools, and clinical staff, his research directly improves patient safety and procedural efficiency. Although his most cited paper, published in 2021, currently holds 2 citations, it represents foundational work in a rapidly evolving field. Hemm’s research is particularly timely as robotic systems become more prevalent in minimally invasive surgery, and his focus on real-time, adaptive collision avoidance promises to reduce cognitive load on surgeons while maintaining operational precision. His work stands as a valuable contribution to the broader goal of making robotic surgery safer, more intuitive, and more widely adoptable.
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Top Papers
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