Edwin Kreuzer

About

Edwin Kreuzer is a leading figure in the fields of nonlinear dynamics, control theory, and underwater robotics. His work bridges the gap between theoretical mechanics and practical robotic systems, with major contributions to the modeling and control of underactuated and electro-hydraulic systems. He is perhaps best known for pioneering the development of micro autonomous underwater vehicles (μAUVs) for swarm and confined-environment applications, exemplified by the HippoCampus and HippoCampusX platforms. These open-source, hydrobatic vehicles address critical challenges in guidance, navigation, and control (GNC) for agile underwater operations, with his 2015 paper on HippoCampus garnering 44 citations. Kreuzer’s research on sliding mode control, adaptive fuzzy compensation, and thruster dynamics has been instrumental in stabilizing complex systems, as seen in his highly cited work on electro-hydraulic servo-systems (98 citations). He also developed NEWEUL, a foundational software for generating symbolic equations of motion, which has been a key tool in multibody dynamics since 1990. His sustained impact is reflected in over 300 citations across his most influential papers, cementing his legacy as a pioneer in both theoretical mechanics and practical underwater robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Sliding Mode Control with Adaptive Fuzzy Dead-Zone Compensation of an Electro-hydraulic Servo-System

   98 citations · 2009
2. 2
   HippoCampus: A micro underwater vehicle for swarm applications

   44 citations · 2015
3. 3
   An adaptive fuzzy sliding mode controller for uncertain underactuated mechanical systems

   30 citations · 2019
4. 4
   NEWEUL — Software for the Generation of Symbolical Equations of Motion

   28 citations · 1990
5. 5
   Dynamic Positioning of Underwater Robotic Vehicles with Thruster Dynamics Compensation

   28 citations · 2013
6. 6
   HippoCampusX – A Hydrobatic Open-source Micro AUV for Confined Environments

   27 citations · 2020
7. 7
   Robust feedback stabilization of underwater robotic vehicles

   27 citations · 1997
8. 8
   Towards Micro Robot Hydrobatics: Vision-based Guidance, Navigation, and Control for Agile Underwater Vehicles in Confined Environments

   25 citations · 2020
9. 9
   Learning Environmental Field Exploration with Computationally Constrained Underwater Robots: Gaussian Processes Meet Stochastic Optimal Control

   17 citations · 2019
10. 10
    On the Mathematical Modeling of ROV'S

    12 citations · 1991

Key Collaborators

Contact & Links