Uwe Hanebeck

Professor

Karlsruher Institut für Technologie

Germany

Research Interests

Explore related searches

Professors in Germany Professors in Statistics Statistics professors in Germany

About

Uwe Hanebeck is a Professor at the Karlsruher Institut für Technologie in Germany. His research encompasses stochastic control, sensor fusion, localization, and the application of machine learning techniques in robotics and estimation theory. Recent publications highlight his work on optical sorting systems, privacy-preserving navigation, and high-performance mapping technologies.

Articles (12)

Year:

2025

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Collaborators (4)

Kailai Li

Assistant Professor

University of Groningen

NETHERLANDS

View details

Harald Kruggel-Emden

Professor (Mechanical Process Engineering and Solids Processing)

Technische Universität Berlin

GERMANY

View details

Florian Pfaff

Karlsruhe Institute of Technology

GERMANY

View details

Christopher Funk

Otto-von-Guericke Universität Magdeburg

GERMANY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Uwe Hanebeck

Research Interests

Explore related searches

About

Articles (12)

Stochastic Optimal Control of an Optical Sorter With Material Recirculation

Distributed Fusion of Multiple Model Estimators Using Minimum Forward Kullback–Leibler Divergence Sum

Continuous-Time Ultra-Wideband-Inertial Fusion

Distributed Range-Only Localisation That Preserves Sensor and Navigator Privacies

Mixture of Experts of Neural Networks and Kalman Filters for Optical Belt Sorting

Cryptographically Privileged State Estimation With Gaussian Keystreams

Haptic Rendering of Arbitrary Serial Manipulators for Robot Programming

The State Space Subdivision Filter for Estimation on SE(2)

RTCF: A framework for seamless and modular real-time control with ROS

Towards High-Performance Solid-State-LiDAR-Inertial Odometry and Mapping

Conservative Quantization of Covariance Matrices with Applications to Decentralized Information Fusion

Progressive von Mises–Fisher Filtering Using Isotropic Sample Sets for Nonlinear Hyperspherical Estimation

Collaborators (4)

Kailai Li

Harald Kruggel-Emden

Florian Pfaff

Christopher Funk

Make your next move.