Moritz Reuss — Robotics & VLA Research
Efficient generalist robot foundation models — Vision-Language-Action (VLA) models and World-Action Models (WAMs), diffusion/flow policies. Publications, projects, and writing.
Moritz Reuss I am a researcher at NVIDIA's Seattle Robotics Lab, based in Zürich, building efficient and versatile robot foundation models for manipulation. I recently completed my PhD with distinction (summa cum laude) at KIT's Intuitive Robots Lab, supervised by Rudolf Lioutikov. My goal is to make capable generalist robot foundation models efficient enough to train outside frontier labs and practical enough to run on local hardware. Email / CV / Google Scholar / GitHub / LinkedIn / Perspectives Full Publication List FLOWER: Democratizing Generalist Robot Policies with Efficient…
saved by
related reading
- State of Vision-Language-Action (VLA) Research at ICLR 2026 – Moritz Reussmbreuss.github.io
- [2602.10098] VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Modelarxiv.org
- [2607.15275] RoboTTT: Context Scaling for Robot Policiesarxiv.org
- Computer Vision and Geometry Group | Robot Learningcvg.ethz.ch
- World Action Model Atlasjoeclinton.me
- Pretrained to Imagine, Fine-Tuned to Act: The Rise of World-Action Models | NVIDIA Technical Blogdeveloper.nvidia.com
- Introducing Robostral Navigatemistral.ai
- How Claude Performs on Robotics Tasks \ Anthropicanthropic.com
- Explore | alphaXivalphaxiv.org
- Emergence of Human to Robot Transfer in Vision-Language-Action Modelspi.website
- A VLA with Open-World Generalizationpi.website
- SimpleVLA-RL: Scaling VLA Training via Reinforcement Learningalphaxiv.org