Imagineering novel languages for the communication between human(s) and machine(s)
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.
Robotics, Haptics, Tactile Sensing, Extended and Mixed Reality
Projects
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.
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:
Computer Vision / Neural Rendering / Deep Learning
Extended Reality
Rendering, Interfaces & Interactivity
Robotics & Exoskeletons
Digital Health
If you are interested, please send your transcript of records, CV and motivation to the respective supervisor with CC to hex-thesis.ortho@mh.tum.de.
Lectures and Seminars
Exergames in Medicine and Health (SS) This course deals with the theory, design, engineering and development of exergames. In the course, students will be provided with theoretical game-design, gamification and medical foundations and work in small groups to realize working exergame prototypes. Exemplary project themes could be:
Designing exergames for rehabilitation and physiotherapy
Designing gamified approaches for performance optimization in sports
VR supported simulations for patients with motor impairments
The course is designed in an interactive project format. Based on initial discussions and theoretical input, students research, design, develop, and evaluate solutions in the form of projects and studies in small groups following user-centered design and agile software engineering principles.
XR: Virtual-, Mixed-, and Augmented Reality (WS) In this lecture, students will expand their knowledge of advanced topics in virtual, augmented, and mixed reality. Key topics include among others:
Real-time interactive systems, avatars, and virtual embodiment
Social XR, collaborative environments
Advanced 3D interfaces and visualization techniques
Cross-reality and environment reconstruction
In an accompanying practical exercise, ythey will gain practical experience in developing advanced XR application.
Computer Vision in the Operating Room (WS) This seminar focuses on the latest methods in computer vision and deep learning for applications in the operating room. The course includes individual paper reviews and interactive presentations, helping students not only to develop technical expertise but also to build scientific communication and discussion skills.
We are currently not looking for student lab assistants. Please check back later or reach out to us.
PhD / Postdoc
If you have a strong research / study background in the areas of XR, HCI, Computer Vision, Medical Engineering, or Robotics please drop us a mail and we’ll get back to you.
Contact
Prof. Dr. Daniel Roth Technical University of Munich Klinikum rechts der Isar Machine Intelligence in Orthopedics Human-Centered Computing and Extended Reality Lab
Trogerstrasse 10, Munich, 81675
Find us on the third floor. Please direct postal deliveries to c/o Fritz Seidl, Ismaninger Str. 22
