Max Argus

Max Argus is a researcher at the Computer Vision Lab, University of Freiburg, focusing on computer vision and AI for robotics. He holds a PhD in Computer Science (2022) and a Master’s in Physics (University of Heidelberg), where his thesis was supervised by Björn Ommer.

• Research Interests:

  His work bridges Computer Vision for Robotics, Reinforcement Learning, and Vision-Language Integration. He explores Learning from Demonstration to enable compositional task planning, Visual Servoing for precise control, and XAI to enhance model interpretability.

• Publications Trends:

  Recent publications highlight advancements in Vision-Language Models (ICLR 2025), Explainable AI (TMLR 2025), and Robot Manipulation (ICRA 2024). His work integrates Latent Diffusion, Flow Matching, and Contrastive Learning for robotics and vision tasks.

• Labs & Collaborations:

  He collaborates with the Computer Vision Group under Prof. Thomas Brox and Wolfram Burgard, contributing to projects like cVLA (camera-space vision-language actions) and RobotIO (robot manipulation library.