1 to 8 of 8 Results
Jul 25, 2023 - PN 4-4
Rosenfelder, Mario; Ebel, Henrik; Eberhard, Peter, 2023, "Experiment Videos of a Force-Based Organization and Control Scheme for the Non-Prehensile Cooperative Transportation of Objects", https://doi.org/10.18419/darus-3611, DaRUS, V1
The videos provided show experimental results of the cooperative object transportation using mobile robots with on-board force control. In particular, the mobile robots shall transport four different polygonal, but non-convex, objects along predefined paths. The distributed forma... |
May 15, 2023 - PN 4-7
Baier, Alexandra; Frank, Daniel, 2023, "deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning", https://doi.org/10.18419/darus-3455, DaRUS, V1
deepsysid is a system identification toolkit for multistep prediction using deep learning and hybrid methods. The toolkit is easy to use. After you follow the instructions in the README, you will be able to download a dataset, run hyperparameter optimization and identify your bes... |
May 15, 2023 - PN 4-7
Baier, Alexandra; Aspandi, Decky; Staab, Steffen, 2023, "Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""", https://doi.org/10.18419/darus-3457, DaRUS, V1
This repository contains the necessary scripts to reproduce the results from our paper "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks". See the README file for more information. The most current version of this software is a... |
Jan 25, 2023 - PN 4-4
Rosenfelder, Mario; Ebel, Henrik; Eberhard, Peter, 2023, "Experiment Videos of the Force-Based Non-Prehensile Cooperative Transportation of Objects with Mobile Robots", https://doi.org/10.18419/darus-3331, DaRUS, V1
The videos provided show two experimental results of cooperative object transportation using lightweight omnidirectional mobile robots. In particular, the mobile robots shall transport two different polygonal, but non-convex, objects along predefined paths. No central decision en... |
Jun 20, 2022 - PN 4-7
Baier, Alexandra; Staab, Steffen, 2022, "A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances", https://doi.org/10.18419/darus-2905, DaRUS, V1, UNF:6:Y083ZdO8GLwf/Iimyij+mQ== [fileUNF]
This dataset contains data of 125 1-hour simulations of ship motion during various sea states performing random maneuvers in 4 degrees of freedom (surge-sway-yaw-roll). The original ship is a patrol ship developed by Perez et al. [1]. We have extended it with a set of two symmetr... |
May 16, 2022
Combining First Principles and Neural Network Models for Interpretable, High-Precision Multi-Step Predictions (InMotion) |
Eschmann, Hannes, 2021, "A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot", https://doi.org/10.18419/darus-1845, DaRUS, V1
The intend of this data set is the cooperation within SimTech. It will be particularly interesting for data-based modeling and control which is a key area of the research of project network 4. We are proud to provide real-world data, which is essential for the benchmark of any da... |
May 10, 2021
Bridging the gap between theoretic research in distributed and learning-based model predictive control and multi-agent applications. |
