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Journal Articles
- 2020
[j4]Leo Dostal
, Helge Grossert, Daniel-André Duecker, Malte Grube, Daniel Christopher Kreuter, Kai Sandmann, Benjamin Zillmann, Robert Seifried:
Predictability of Vibration Loads From Experimental Data by Means of Reduced Vehicle Models and Machine Learning. IEEE Access 8: 177180-177194 (2020)- [j3]Simon Watson, Daniel-André Duecker, Keir Groves:
Localisation of Unmanned Underwater Vehicles (UUVs) in Complex and Confined Environments: A Review. Sensors 20(21): 6203 (2020) - 2019
- [j2]Daniel-André Duecker, Andreas Rene Geist, Edwin Kreuzer, Eugen Solowjow:
Learning Environmental Field Exploration with Computationally Constrained Underwater Robots: Gaussian Processes Meet Stochastic Optimal Control. Sensors 19(9): 2094 (2019) - 2017
- [j1]Daniel-André Duecker, Andreas Rene Geist, Michael Hengeler, Edwin Kreuzer, Marc-André Pick, Viktor Rausch, Eugen Solowjow:
Embedded Spherical Localization for Micro Underwater Vehicles Based on Attenuation of Electro-Magnetic Carrier Signals. Sensors 17(5): 959 (2017)
Conference and Workshop Papers
- 2023
- [c12]Kanzhong Yao, Nathalie Bauschmann, Thies L. Alff, Wei Cheah, Daniel-André Duecker, Keir Groves, Ognjen Marjanovic, Simon Watson:
Image-Based Visual Servoing Switchable Leader-follower Control of Heterogeneous Multi-agent Underwater Robot System. ICRA 2023: 5200-5206 - [c11]Nathalie Bauschmann, Daniel-André Duecker, Thies L. Alff, Rene C. Hochdahl, Robert Seifried:
Towards Full Actuation: Reconfigurable Micro Underwater Robots. IROS 2023: 6192-6199 - 2022
- [c10]Fabian Steinmetz, Daniel-André Duecker, Nils Sichert, Christian Busse, Edwin Kreuzer, Bernd-Christian Renner:
UWRange: An Open ROS Framework for Simulating Acoustic Ranging and Localization for Underwater Robots under Realistic Conditions. IROS 2022: 8442-8449 - 2021
- [c9]Daniel-André Duecker, Christian Horst, Edwin Kreuzer:
From Aerobatics to Hydrobatics: Agile Trajectory Planning and Tracking for Micro Underwater Robots. IROS 2021: 8617-8624 - [c8]Daniel-André Duecker, Benedikt Mersch, Rene C. Hochdahl, Edwin Kreuzer:
Embedded Stochastic Field Exploration with Micro Diving Agents using Bayesian Optimization-Guided Tree-Search and GMRFs. IROS 2021: 8649-8656 - 2020
- [c7]Daniel-André Duecker, Nathalie Bauschmann, Tim Hansen, Edwin Kreuzer, Robert Seifried:
Towards Micro Robot Hydrobatics: Vision-based Guidance, Navigation, and Control for Agile Underwater Vehicles in Confined Environments. IROS 2020: 1819-1826 - 2019
- [c6]Caralyn Cyr, Leo Dostal, Daniel-André Duecker, Edwin Kreuzer:
Towards Reinforcement Learning-based Control of an Energy Harvesting Pendulum. ECC 2019: 3934-3939 - [c5]Daniel-André Duecker, Tobias Johannink, Edwin Kreuzer, Viktor Rausch, Eugen Solowjow:
An Integrated Approach to Navigation and Control in Micro Underwater Robotics using Radio-Frequency Localization. ICRA 2019: 6846-6852 - [c4]Daniel-André Duecker, Kevin Eusemann, Edwin Kreuzer:
Towards an Open-Source Micro Robot Oceanarium: A Low-Cost, Modular, and Mobile Underwater Motion-Capture System. IROS 2019: 8048-8053 - 2018
- [c3]Gerrit Brinkmann, Wallace Moreira Bessa, Daniel-André Duecker, Edwin Kreuzer, Eugen Solowjow:
Reinforcement Learning of Depth Stabilization with a Micro Diving Agent. ICRA 2018: 1-7 - [c2]Daniel-André Duecker, Axel Hackbarth, Tobias Johannink, Edwin Kreuzer, Eugen Solowjow:
Micro Underwater Vehicle Hydrobatics: A Submerged Furuta Pendulum. ICRA 2018: 7498-7503 - 2017
- [c1]Austin D. Buchan, Eugen Solowjow, Daniel-André Duecker, Edwin Kreuzer:
Low-cost monocular localization with active markers for micro autonomous underwater vehicles. IROS 2017: 4181-4188
Informal and Other Publications
- 2020
- [i1]Leo Dostal, Alexej Bespalko, Daniel-André Duecker:
Experimental Study on Reinforcement Learning-based Control of an Acrobot. CoRR abs/2011.09246 (2020)
Coauthor Index
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