Our AVS Labs research is motivated by the goal of developing the next generation of intelligent autonomous vehicles. We aim to develop autonomous vehicles that will be able to interact with each other and with humans while operating safely, efficiently, and powerfully. On Our Github page you will find resources for teaching and research. Here you will find the algorithms, tools and simulations we developed to enable safe and trustworthy autonomy for a wide range of highly integrated autonomous vehicle applications.
TUM - Autonomous Vehicle Systems Lab
The main research at the Professorship Autonomous Vehicle Systems focusing on generating the next generation of intelligent autonomous vehicles
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Repositories
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- workshop-physics-data-robotics Public Forked from physics-data-robotics/physics-data-robotics.github.io
This repo contains the website for the workshop "Data Meets Physics in Robotics" at IROS 2026
TUM-AVS/workshop-physics-data-robotics’s past year of commit activity - FM-AD-Survey Public
This repository collects research papers of large Foundation Models for Scenario Generation and Analysis in Autonomous Driving. The repository will be continuously updated to track the latest update.
TUM-AVS/FM-AD-Survey’s past year of commit activity - RBFN-Motion-Primitives Public
TUM-AVS/RBFN-Motion-Primitives’s past year of commit activity - RoboRacer-Dynamics Public
TUM-AVS/RoboRacer-Dynamics’s past year of commit activity - RoboRacer-Evaluation Public
TUM-AVS/RoboRacer-Evaluation’s past year of commit activity - target-bench Public
Official repo for Target-Bench: Can World Models Achieve Mapless Path Planning with Semantic Targets?
TUM-AVS/target-bench’s past year of commit activity - RoboRacer-Offroad Public
TUM-AVS/RoboRacer-Offroad’s past year of commit activity - ICRA2026_Workshop Public
TUM-AVS/ICRA2026_Workshop’s past year of commit activity
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