Moritz Reuss is a research scientist and incoming postdoc at NVIDIA Seattle Robotics Lab with nine years of experience building vision-language-action systems that teach robots new skills from videos, demonstrations, and language. During his PhD at KIT’s Intuitive Robots Lab he introduced diffusion-based policies and efficient VLM architectures for generalist robotic manipulation, publishing at RSS, ICLR, NeurIPS and CoRL. He combines strong mechanical-engineering roots with hands-on software contributions—such as adding Docker container monitoring support to the popular uptime-kuma project—bringing both algorithmic depth and pragmatic full-stack engineering to robotics. A 2025 Apple Scholar in AI/ML, he focuses on compact, scalable VLA policies and self-supervised labeling to make flexible robot behavior practical. Colleagues describe him as someone who bridges theory and product-ready systems, often finding elegant, implementation-minded twists on research ideas.
9 years of coding experience
4 years of employment as a software developer
Master's degree Mechanical Engineering, Master's degree Mechanical Engineering at Karlsruhe Institute of Technology (KIT)
Mechanical Engineering, Mechanical Engineering at Chalmers University of Technology
Contributions:1 review, 18 commits, 2 PRs in 6 months
Contributions summary:Moritz implemented and refined Docker container monitoring functionality, a core feature of the uptime-kuma project. Their work involved modifying the frontend (EditMonitor.vue) to include Docker container configuration options and integrating Docker-related logic within the backend (server/model/monitor.js). They also added English translations and made improvements to the user interface for Docker host connections. The user's contributions included database schema modifications to support Docker-related data.
State-of-the-Art Source Code Plagiarism & Collusion Detection. Check for plagiarism in a set of programs.
Contributions:36 pushes, 6 branches in 4 months
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