Papers
2
Total Citations
37
H-Index
2
About
Daniel Braun is a pioneering researcher at the intersection of robotics, biomechanics, and microsurgery. His primary research areas include medical robotics, human-robot collaboration, and surgical computer vision. Braun’s most notable contribution is the development of EyeSLAM, a real-time simultaneous localization and mapping algorithm for retinal vessels during intraocular microsurgery. This groundbreaking work, published in 2017 with 35 citations, enables fast and accurate mapping of the retinal vasculature, significantly enhancing the effectiveness of robot-assisted procedures like laser photocoagulation and retinal vessel cannulation. More recently, Braun has explored integrative biomechanics in human-robot carrying tasks, with a 2025 study analyzing kinematics and spatio-temporal parameters to improve collaborative robotic assistance for patients with sarcopenia. His work bridges the gap between surgical precision and assistive robotics, demonstrating a commitment to translating complex biomechanical principles into practical clinical applications. Braun’s research continues to shape the future of medical robotics, offering innovative solutions that enhance both surgical outcomes and quality of life for patients with mobility impairments.
Research Focus
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Top Papers
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