Caspar Gruijthuijsen is an R&D engineer with nine years of experience bridging academic medical-robotics research and industry-grade control and image-analysis solutions. He holds a PhD from KU Leuven where he developed haptic control, visual servoing, registration and VR simulation techniques to harmonize surgeons and robots in the OR. At Sioux Technologies he deepened expertise in control theory, optimization and medical image analysis, and he now applies that blend of theory and prototyping at Movu Robotics. Caspar is equally comfortable with low-level control and high-level system integration, with hands-on experience in surgical-data fusion and instrument interfacing from collaborative projects like GIFT-Surg. Colleagues describe him as relentlessly curious and driven to understand systems end-to-end — a trait that fuels both novel research ideas and robust engineering implementations.
9 years of coding experience
11 years of employment as a software developer
Master of Science - MS, Mechanical Engineering, Magna Cum Laude (With Great Honor), Master of Science - MS, Mechanical Engineering, Magna Cum Laude (With Great Honor) at KU Leuven
Undergraduate, Science, Mathematics, Latin, 89%, Undergraduate, Science, Mathematics, Latin, 89% at Klein Seminarie Hoogstraten
Contributions:12 releases, 15 commits, 24 pushes in 2 months
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Caspar Gruijthuijsen - R&D Engineer at Movu Robotics