
About Us

Established in 2021 and relocated to the Technical University of Munich (TUM) in 2023, the Human-Centered Computing and Extended Reality Lab aims to pioneer new technologies to enhance medical care and healthcare. We pursue fundamental, translational, and radical blue-sky research to improve medicine for patients and healthcare professionals.
We adopt a holistic perspective on machine intelligence, emphasizing AI-driven technologies that enable meaningful collaboration between humans and machines. Therefore, we operate at the intersections of human-computer interaction, artificial intelligence, extended reality, robotics, and medicine. Exemplary research areas include AI-based assistance systems for surgical procedures, systems for diagnosing diseases and disorders, telepresence procedures, and robot-assisted rehabilitation measures.
We perform our research integrative as part of TUM’s School of Medicine and Health, TUM’s School of Computation, Information, and Technology, and the TUM University Hospital Department Clinical Medicine, affiliated with the Clinic for Orthopedics and Sports Orthopedics.
Our research is centered around the understanding, design, development, and evaluation of computing solutions and human-machine interfaces that improve the way we interact with, work with, and communicate through machines. A majority of our research considers AI driven Extended Reality user interfaces in the context of physical and mental health, such as Virtual-, Mixed- or Augmented Reality systems. Examples of these are assistive technologies for medical procedures or systems to assess and diagnose pathologies and disorders.
To do so, we strive for foundational, translational, and radical scientific contributions with high methodological and experimental quality. Our research is inspired by multiple disciplines, including but not limited to Computer Science, Psychology, Design, Medicine, and Neuroscience. We incorporate methods from these disciplines, such as computer vision, computer graphics, artificial intelligence, and user-centered design in a broad methodological bandwidth to support our research goals. We closely interact with partners from medicine and industry to incorporate different perspectives.

VISKIMED3D is a two-year project funded by the Federal Ministry for Economic Affairs and Energy.

DEREK is a three-year BMFTR funded project with a total volume of 1.47 Million Euros.

Immersive Gaussian Splatting for virtual apartment tours.

The Robotics Institute Germany connects leading experts in science, academia, and the industry.

Collaborative Project on Aerial Rescue Guidance, Reconstruction and XR Interaction.

VIPERS is a project for surgical data science and AI driven workflows

Immersive, real-time XR teleguidance for emergency scenarios.

KARVIMIO is a three-year BMFTR funded project with a total volume of 1.73 Million Euros.

Neural rendering and reconstruction for guidance and user experience.

Enhancing and streamlining clinical decision-making.

Realistic visualization of medical and surgical data in 3D.
We offer theses in various research areas. Applications for thesis are considered to the dates 1st of April for the Summer Semester and 1st of October for the Winter Semester. We offer topics in the following areas:
If you are interested, please click on ‘Apply’ and check out the application details for a thesis or project with us.

This course deals with the theory, design, engineering and development of exergames.

In this lecture, students will expand their knowledge of advanced topics in XR.

This seminar focuses on the latest methods for computer vision in the operating room.
Interested in working or researching with us? Find out more below. Depending on your career level, we offer different options.
We welcome, embrace, and respect diversity of people, identities, and cultures. We therefore encourage all potential fitting candidates, regardless of their personal background, to apply for the opportunity.
Find out more about our Doctoral Candidate and Postdoc (Senior Researcher) application process.
Check this out if you are interested in a assistant position or thesis with us.
We encourage and embrace the visit and collaboration of junior and senior researchers for temporary stays in our lab. Find out more here.
Prof. Dr. Daniel Roth
Technical University of Munich
TUM University Hospital
Machine Intelligence in Orthopedics
Human-Centered Computing and Extended Reality Lab