Successful research stay: Dr habil. Sabine Bauer honoured at international conference in Tokyo

Dr habil Sabine Bauer was honoured for two research contributions at the IEEE Advanced Machine Learning and Data Science Conference in Tokyo. Image: University of Koblenz

During a research stay in Japan, Dr habil. Sabine Bauer from the University of Koblenz and her team gained in-depth insights into current developments in robotics and artificial intelligence. She was also honoured twice at a renowned conference on AI and machine learning in Tokyo.

As part of the week-long trip, Dr habil Sabine Bauer, Head of University Sports and the "University Sports" and "VisSim" research groups, and project member MSc Ivanna Kramer visited various campuses at the University of Tokyo, including the Kashiwa Campus of the Department of Human and Engineered Environmental Studies.

In dialogue with Japanese scientists, the focus was on topics such as sensor-based environmental perception, real-world robotics using AI and supporting robot systems based on human motor skills. Particularly impressive: the guided tour of the movement laboratory, during which the researchers from the University of Koblenz also presented their own projects - and met with great interest.

The Hongo Campus of the Faculty of Engineering also offered numerous points of contact: from the motion control of soft robots and biomechanical modelling to the simulation of swarm behaviour and pedestrian movements.

A highlight of the trip was attending the IEEE Advanced Machine Learning and Data Science Conference in Tokyo (19 to 21 July), an international conference for machine learning, AI and data-based technologies. There, Dr habil. Sabine Bauer and her colleague MSc Ivanna Kramer presented a total of three research papers:

In the poster session on "Artificial Intelligence & Computer Vision Applications", Dr habil. Sabine Bauer presented her project "Rethinking Knee Kinematics: Are AI-Based Pose Estimation Models Really Up to the Task?" and MSc Ivanna Kramer their study "Can a Rollator Predict Your Posture? The Potential of Pose Estimation and Depth Image Analysis for Posture Assessment" before.

In an oral presentation in the field of "Healthcare AI and Medical Imaging", Dr habil. Sabine Bauer presented the contribution "Unlocking the Future of Injury Prevention: AI-Powered Pose Estimation in Real-Time Linked with Biomechanical Simulation".

The response to the contributions was extremely positive - Bauer was honoured for both the best poster presentation and the best lecture at the conference. "The direct exchange with international colleagues opens up new perspectives and confirms how relevant and forward-looking our work is," says Bauer.