Mission Statement

  • ISAS has been founded in 2003 and is headed by Prof. Uwe D. Hanebeck
  • Our mission is to advance the state-of-the-art in machine learning under uncertanties
  • We are dedicated to research-oriented teaching and offer a wide variety of courses
  • Topics: Distributed/decentralized data and information fusion, nonlinear state estimation, system modeling & identification, model predictive control
  • Applications: Localization, robotics, telepresence systems, virtual/mixed reality, aircraft surveillance, industrial sorting, predictive maintenance and anomaly detection

 

News

MFI2026
09/04/2026

Daniel Frisch and Uwe D. Hanebeck received the Best Paper Award, 2nd runner-up of the "2026 IEEE International Conference on Multisensor Fusion and Integration (MFI), Pilsen, Czechia" for the paper Estimating Rotation Speed on the Sphere: Low-Rank Fokker–Planck Prediction on 𝕊² × ℝ.

Certificate (PDF)
07/03/2026

Benjamin Siebler successfully defended his Ph.D. dissertation "Train Localization with Magnetic Field Distortions and Bayesian Methods". The thesis has been co-advised and co-examined by Assoc. Prof & Docent Gustaf Hendeby, Linköping University, Sweden.

Best Application Paper Award
03/18/2026

The publication

 

Michael Fennel, Markus Walker, Dominik Pikos, Uwe D. Hanebeck,
HapticGiant: A Novel Very Large Kinesthetic Haptic Interface with Hierarchical Force Control,
IEEE Transactions on Haptics, Volume 18, Issue 4, pages 862–875, Oct.-Dec. 2025.

 

won the IEEE Transactions on Haptics Best Application Paper Award.

Certificate (PDF)
Dongming Yu
03/02/2026

Dongming Yu is on his first day of internship.

Visit Ondřej Straka
01/18/2026 – 01/30/2026

Follow-up visit of Prof. Ondřej Straka, University of West Bohemia in Pilsen, Plzeň, Czech Republic for joint research on data-driven Bayesian estimation.