Vincent Schorp
Founding Engineer at Witty Machines
Zurich, Zurich, Switzerland
Summary
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Rockstar🎓
Top SchoolVincent Schorp is a founding engineer and robotics specialist with seven years of hands-on experience bridging research and product development, holding an MSc in Robotics, Systems, and Controls from ETH Zurich. He has delivered applied computer vision and learning solutions across industry and academia—from fallen-item detection for mobile warehouse robots at Amazon to monocular 3D pose estimation and bimanual manipulation in research labs. Passionate about medical robotics and wearable diagnostics, he spent time as a visiting researcher at UC Berkeley and focuses on translating patient data into better clinical outcomes. At Witty Machines and OR-X he combined systems thinking with rapid prototyping to push mobile robots toward real-world deployment. Colleagues describe him as equally comfortable coding perception pipelines as designing experiments, with a consistent track record of turning academic ideas into pragmatic products.
7 years of coding experience
2 years of employment as a software developer
Visiting Researcher, Medical Robotics, Visiting Researcher, Medical Robotics at University of California, BerkeleyMaster of Science - MS, Robotics, Systems and Controls, Master of Science - MS, Robotics, Systems and Controls at ETH ZürichBachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at ETH ZurichSwiss Baccalauréat, Physics and Applied Mathematics, Swiss Baccalauréat, Physics and Applied Mathematics at Lycée Denis-de-Rougemont
German, French, English
Github Skills (19)
robotics9
visual-odometry9
slam8
point-cloud8
voxel8
self-supervised-learning8
calibration8
aruco7
object-detection6
ros6
pytorch6
lidar5
computer-vision5
pose-estimation5
3d4
Programming languages (3)
Github contributions (5)
vschorp/raisimLib
Mar 2022 - Jul 2022
Visit www.raisim.com
Contributions:1 review, 17 PRs, 155 pushes in 3 months
visitraisim
Vinzz98/voxblox
Apr 2019 - Jul 2019
A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.
Contributions:12 PRs, 44 pushes, 16 branches in 2 months
focusingsignedeuclideantruncateddistance
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