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 Student 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.