Andreas Kuhner

Andreas Kuhner is a PhD student and researcher at the Autonomous Intelligent Systems group in the Department of Computer Science at Albert-Ludwigs-Universität Freiburg, affiliated with the Faculty of Engineering. He has served as a teaching supervisor for seminars on robot navigation and brain signal decoding.

Research Interests: His work focuses on robot localization and mapping, with a specialized interest in human motion analysis using motion capture systems. He applies machine learning techniques, particularly random forests, to assess human motion similarity in the context of Parkinson’s disease. His research bridges mobile robotics and biomedical applications.

The publication trend reflects an interdisciplinary focus combining robotics, machine learning, and healthcare, particularly in using probabilistic models for clinical motion analysis. His master’s thesis addressed the alignment of robot-generated gridmaps with architectural CAD floorplans to improve human-robot spatial understanding.

Scientific Awards: No awards mentioned.

Advising and Grants: Andreas has supervised university seminars including Robot Navigation (WS2015/2016), Introduction to Computer Science for MST (SS2016), and a seminar on real-time brain signal decoding (SS2016). He is involved in research projects such as Calimotion and BrainLinks-BrainTools, which likely involve external funding, though specific grants are not detailed.

Labs and Teams: He is an active member of the Autonomous Intelligent Systems research group led by Prof. Dr. Wolfram Burgard, a well-known lab in robotics and AI at the University of Freiburg.