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



Our project proposal "Gaussian Process Modeling on Directional Manifolds for Data-Driven Estimation of Rigid Body Motion" has been accepted by Deutsche Forschungsgemeinschaft (DFG) with a funding of 36 PM.

IEEE MFI 2021 23–25 September 2021

The 2021 IEEE International Conference on Multisensor Fusion and Integration (MFI 2021) organized by ISAS takes place from September 23 to 25. It is planned to be a hybrid event with options for virtual and on-site participation.

Real-Time Control Framework (RTCF)

The Real-Time Control Framework (RTCF) developed by ISAS is released under the MIT License. With this framework, modular and high-performance control applications can be easily developed and seamlessly integrated into ROS ecosystems.

Lukas Michiels

Lukas Michiels joins the ISAS lab.


Susanne Radtke, Benjamin Noack, and Uwe D. Hanebeck receive the Fusion 2020 Best Paper Award: General Category for the paper Fully Decentralized Estimation Using Square-Root Decompositions.

Certificate (PDF)