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

12/01/2023

Jiachen Zhou joins the ISAS lab.

01/30/2023

The paper titled "The Kernel-SME Filter with Adaptive Kernel Widths for Association-free Multi-target Tracking" by Eugen Ernst, Florian Pfaff, Uwe D. Hanebeck, and Marcus Baum is among the five finalists for the Best Student Paper Award of the 2023 American Control Conference (ACC 2023).

MFI2022 Best Paper Award
09/21/2022

Michael Fennel, Lukas Driller, Antonio Zea and Uwe D. Hanebeck received the Best Paper Award of the "2022 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2022), Cranfield, United Kingdom" for the paper Calibration-free IMU-based Kinematic State Estimation for Robotic Manipulators.

Certificate (PDF)
Lukas Driller
09/15/2022

Lukas Driller joins the ISAS lab.

Eugen Ernst
08/15/2022

Eugen Ernst joins the ISAS lab.

Markus Walker
08/01/2022

Markus Walker joins the ISAS lab.