Lukas Schmid

Professor Of Machine Intelligence at University of Technology Nuremberg

Nuremberg, Bavaria, Germany
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Summary

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Lukas Schmid is a tenure-track Professor of Machine Intelligence at the University of Technology Nuremberg and an accomplished researcher with eight years of experience in embodied spatio-temporal AI for human-centric robot autonomy. He completed a PhD and MSc at ETH Zürich, held a Microsoft Spatial AI visiting stint, and contributed as a postdoc and Research Scientist at MIT SPARK, blending academic rigor with applied lab experience. His work on scene representations, active perception, prediction of dynamic entities, and lifelong learning has earned multiple distinctions including RSS awards, ETH medals, an SNSF fellowship, and first place in the 2024 Hilti SLAM challenge. Lukas bridges theory and systems engineering—his projects emphasize deployable perception and adaptive autonomy rather than purely theoretical models. Based in Nuremberg, he brings a strong European research pedigree and a track record of translating cutting-edge spatial AI into award-winning systems.
code8 years of coding experience
job2 years of employment as a software developer
bookPostdoc, Postdoc at Massachusetts Institute of Technology
bookDoctor of Philosophy - PhD, Mechatronics, Robotics, and Automation Engineering, Doctor of Philosophy - PhD, Mechatronics, Robotics, and Automation Engineering at ETH Zürich
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Github Skills (79)

pose10
unreal10
ros10
sdf10
robotics10
modular10
occupancy-grid-map10
astar10
scene10
pybullet10
autonomous-robots10
airsim10
uniform10
information-gain10
simulation10

Programming languages (4)

C++CSSMakefilePython

Github contributions (5)

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ethz-asl/dynablox

Apr 2023 - Mar 2025

Real-time detection of diverse dynamic objects in complex environments.
Contributions:6 PRs, 15 pushes, 6 branches in 1 year 10 months
detectiondiversedynabloxdynamicenvironment
ethz-asl/panoptic_mapping

May 2020 - Nov 2022

A flexible submap-based framework towards spatio-temporally consistent volumetric mapping and scene understanding.
Contributions:26 reviews, 346 commits, 20 PRs in 2 years 6 months
understandingpanopticmulti-tsdfsscene-understandingconsistent
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Lukas Schmid - Professor Of Machine Intelligence at University of Technology Nuremberg