ThomasĀ Horstink
Robotics Engineer at Mainblades | Aircraft Drone Inspections
The Hague, South Holland, Netherlands
Summary
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Seniorš
Top SchoolThomas Horstink is a robotics engineer with 8 years of hands-on experience building navigation, perception and state-management stacks for autonomous vehicles, currently developing dead-reckoning, mapping and localization algorithms for inspection drones at Mainblades. He combines a strong foundation in probabilistic methods and factor-graph-based sensor fusion with practical expertise in optimization and functional/value-oriented programming to deliver robust real-world systems. His work spans real-time SLAM integrating UWB and consumer LiDAR, self-calibrating dead-reckoning, and motion planning with Gaussian Processes from roles at Robot Care Systems and Lely. Thomas contributes to the well-regarded GTSAM ecosystem by improving simultaneous optimization examples, showing an emphasis on clear, reproducible examples and principled uncertainty handling. Based in The Hague, he brings both academic rigor from Delft University of Technology and field-proven engineering that turns advanced probabilistic theory into deployable robotic solutions.
8 years of coding experience
3 years of employment as a software developer
VWO Natuur en Techniek diploma, VWO Natuur en Techniek diploma at Sint Laurenscollege RotterdamTU DelftMaster of Science (MSc), Mechanical Engineering, Master of Science (MSc), Mechanical Engineering at Delft University of Technology
English, Dutch
Github Skills (8)
graph10
factors10
robotics10
c-language10
cprogramming-language10
slam10
expressions10
nonlinear-optimization9
Programming languages (5)
Github contributions (5)
borglab/gtsam
Jan 2019 - Jan 2019
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits, 12 comments, 6 issues in 1 day
Contributions summary:Thomas primarily contributed to example code within the GTSAM library. Their work involved developing a simultaneous optimization example for trajectory, landmark, and sensor-body-transform estimation, focusing on bearing-range measurements and the use of Expressions. They also made minor revisions to comments, and adjusted the example code related to SFMdata and trajectory creation, indicating a focus on enhancing and refining the library's example functionality and documentation.
smoothingsparsec-plus-plushierarchicalpattern-recognition
thorstink/badmobile
Dec 2019 - Jun 2020
Source code of the Badmobile
Contributions:14 PRs, 138 pushes, 18 branches in 6 months
javascriptreacttypescript
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