Wannes Van Loock
Principal Roboticist at ArcNC
Flemish Region, Belgium
Summary
👤
Senior🎓
Top SchoolWannes Van Loock is a Principal Roboticist with 10+ years of experience applying deep expertise in path planning, optimization, and point-cloud/image processing to industrial robotics and R&D. He has a PhD from KU Leuven and a track record of translating academic advances—B-spline trajectory optimization and robust control—into production-ready solutions across startups and manufacturing, including leading robotics efforts at Oqton/ArcNC. Technically fluent in C++ and Python, he contributes to open-source point-cloud tooling (notably enhancements to the cilantro library) and has hands-on experience with calibration, collision prevention and high-performance point-cloud algorithms. Colleagues rely on him for solving brittle edge cases and squeezing performance from perception pipelines, while outside work he balances engineering rigor with roles as a musician and devoted family man.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Mechatronics, Robotics, and Automation Engineering, Doctor of Philosophy - PhD, Mechatronics, Robotics, and Automation Engineering at KU LeuvenOLVI Boom
English, Dutch, French
Github Skills (13)
algorithm10
data-structures10
algorithms10
registrator10
registrar10
c-language10
cprogramming-language10
point-cloud10
registers10
data-structure10
3d10
transformation9
pca9
Programming languages (2)
Github contributions (5)
kzampog/cilantro
Dec 2018 - Dec 2019
A lean C++ library for working with point cloud data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 20 commits, 9 PRs in 11 months
Contributions summary:Wannes made several contributions to the C++ library for point cloud data, `cilantro`. They focused on adding new features like one-to-one correspondence filtering and symmetric transform estimation. The user also optimized the code by implementing changes like using `kNNInRadius` for correspondence search and improving overall performance, as well as fixing edge cases. Additionally, they added robust normal estimation functionalities.
k-meanshierarchicalspectral-clusteringmdsiterative-closest-point
oqton/cilantro
Dec 2018 - Jan 2020
A lean C++ library for working with point cloud data
Contributions:1 PR, 16 pushes, 11 branches in 1 year
c-librarypointleanpoint-clouddata-cloud
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