Institute of Industrial Automation and Software Engineering

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1 to 7 of 7 Results

Deep Drawing and Cutting Simulations Dataset Apr 2, 2025 - DFG SPP 2422 Baum, Sebastian; Heinzelmann, Pascal, 2025, "Deep Drawing and Cutting Simulations Dataset", https://doi.org/10.18419/DARUS-4801, DaRUS, V1, UNF:6:kR8BEJgV33K792gINT4dbA== [fileUNF] The benchmark dataset was generated through a comprehensive simulation study of the deep drawing process for DP600 sheet metal, incorporating variations in geometry, material properties, and process parameters. The simulations were based on the deep drawing of modified quadratic cups with a length of 210 mm and a drawing depth of 30 mm. Three disti...
DFG SPP 2422(Universität Stuttgart) Mar 27, 2025
Floor Type Detection Dataset Aug 12, 2024 - Robot Dog Go1 Edu Kamm, Simon; Eißen, Dominik; Jazdi, Nasser; Weyrich, Michael, 2024, "Floor Type Detection Dataset", https://doi.org/10.18419/DARUS-4353, DaRUS, V2 Dataset for Floor Type Detection of the Robot Dog Unitree Go1 Edu. Details can be found in the seperate report. !!Privacy Statement!! This dataset is made available for academic use only. However, we take your privacy seriously! If you find yourself or personal belongings in this dataset and feel unwell about it, please contact us and we will immed...
Robot Dog Go1 Edu(Universität Stuttgart) Jul 15, 2024 Datasets created with the Robot Dog Go1 Edu
SynDAB Dataset Jan 23, 2024 - SynDAB Müller, Manuel; Hagmanns, Raphael; Petereit, Janko; Egloffstein, Thomas; Weyrich, Lucas; Ebert, Christof; Weyrich, Michael, 2024, "SynDAB Dataset", https://doi.org/10.18419/DARUS-3758, DaRUS, V1 The dataset comprises a collection of images captured from the perspective of an excavator. The images depict a landfill with various environmental contexts. Specifically, various type of barrels are contained. Moreover, the dataset contains the simulated LiDAR data of these scenes.
SynDAB(Universität Stuttgart) Dec 26, 2023
Stuttgart Open Relay Degradation Dataset (SOReDD) Apr 1, 2022 Maschler, Benjamin; Iliev, Angel; Pham, Thi Thu Huong; Weyrich, Michael, 2022, "Stuttgart Open Relay Degradation Dataset (SOReDD)", https://doi.org/10.18419/DARUS-2785, DaRUS, V1 Real-life industrial use cases for machine learning oftentimes involve heterogeneous and dynamic assets, processes and data, resulting in a need to continuously adapt the learning algorithm accordingly. Industrial transfer learning offers to lower the effort of such adaptation by allowing the utilization of previously acquired knowledge in solving...

Deep Drawing and Cutting Simulations Dataset

Apr 2, 2025 - DFG SPP 2422

Baum, Sebastian; Heinzelmann, Pascal, 2025, "Deep Drawing and Cutting Simulations Dataset", https://doi.org/10.18419/DARUS-4801, DaRUS, V1, UNF:6:kR8BEJgV33K792gINT4dbA== [fileUNF]

The benchmark dataset was generated through a comprehensive simulation study of the deep drawing process for DP600 sheet metal, incorporating variations in geometry, material properties, and process parameters. The simulations were based on the deep drawing of modified quadratic cups with a length of 210 mm and a drawing depth of 30 mm. Three disti...

DFG SPP 2422(Universität Stuttgart)

Mar 27, 2025

Floor Type Detection Dataset

Aug 12, 2024 - Robot Dog Go1 Edu

Kamm, Simon; Eißen, Dominik; Jazdi, Nasser; Weyrich, Michael, 2024, "Floor Type Detection Dataset", https://doi.org/10.18419/DARUS-4353, DaRUS, V2

Dataset for Floor Type Detection of the Robot Dog Unitree Go1 Edu. Details can be found in the seperate report. !!Privacy Statement!! This dataset is made available for academic use only. However, we take your privacy seriously! If you find yourself or personal belongings in this dataset and feel unwell about it, please contact us and we will immed...

Robot Dog Go1 Edu(Universität Stuttgart)

Jul 15, 2024

Datasets created with the Robot Dog Go1 Edu

SynDAB Dataset

Jan 23, 2024 - SynDAB

Müller, Manuel; Hagmanns, Raphael; Petereit, Janko; Egloffstein, Thomas; Weyrich, Lucas; Ebert, Christof; Weyrich, Michael, 2024, "SynDAB Dataset", https://doi.org/10.18419/DARUS-3758, DaRUS, V1

The dataset comprises a collection of images captured from the perspective of an excavator. The images depict a landfill with various environmental contexts. Specifically, various type of barrels are contained. Moreover, the dataset contains the simulated LiDAR data of these scenes.

SynDAB(Universität Stuttgart)

Dec 26, 2023

Stuttgart Open Relay Degradation Dataset (SOReDD)

Apr 1, 2022

Maschler, Benjamin; Iliev, Angel; Pham, Thi Thu Huong; Weyrich, Michael, 2022, "Stuttgart Open Relay Degradation Dataset (SOReDD)", https://doi.org/10.18419/DARUS-2785, DaRUS, V1

Real-life industrial use cases for machine learning oftentimes involve heterogeneous and dynamic assets, processes and data, resulting in a need to continuously adapt the learning algorithm accordingly. Industrial transfer learning offers to lower the effort of such adaptation by allowing the utilization of previously acquired knowledge in solving...

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