PreRunner
The current ROS 2 platform: onboard mapping, state estimation, localization, and Nav2 point-to-point autonomy on a 1/18-scale vehicle.
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M.Sc. Autonomous Systems
Currently pursuing an M.Sc. at DTU, I build systems across robotics, perception, and embedded hardware.
Current autonomous-systems work and selected completed engineering projects.
The current ROS 2 platform: onboard mapping, state estimation, localization, and Nav2 point-to-point autonomy on a 1/18-scale vehicle.
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SAM3 segmentation, DINOv2 embeddings, and PatchCore-style memory banks scoring 98.77% image AUROC across 27 categories.
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A Raspberry Pi, LiDAR, camera, and Isaac Lab-trained policy integrated into an indoor assistive-navigation prototype.
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Q17 arithmetic, register and inlining work, and selective NEON vectorization reduced transform time by 78.2%.
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A VHDL processor with IF, ID, EX, MEM, and WB stages, RAW hazard stalls, branch flushing, and FPGA I/O.
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Continuous-control optimization across thousands of parallel Isaac Lab simulations on randomized putting surfaces.
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Additional simulation, FPGA, embedded, and fabrication work.
The research prototype that established the segmentation and DINOv2 patch workflow later developed into makroInspect.
A gamepad-controlled underwater sampling vehicle with onboard Raspberry Pi compute and a browser-based live interface.
An ESP32-S3 display that retrieves and renders currently playing Spotify album art.
A custom PCB and mechanical-switch remote with remotely configurable Python actions.
I’m an autonomous-systems M.Sc. student working across embedded systems, robotics, perception, and digital design.
My work bridges hardware and software: embedded firmware, Python automation and analysis, PCB design, FPGA development, mechanical prototyping, bring-up, and oscilloscope-based debugging. I’ve applied that systems approach at Intel Foundry and Reliable Controls.
Sketches, prototypes, custom parts, and completed builds.
Contact me about engineering opportunities at mattias.kro@gmail.com or reach me on LinkedIn.