11 to 20 of 1,823 Results
Jun 5, 2025 - EXC IntCDC Research Project 18 'Holistic Quality Model for Extension of Existing Buildings'
Balangé, Laura; Kerekes, Gabriel; Frolow, Rudolf; Yang, Yihui; Abolhasani, Sahar; Schwieger, Volker, 2025, "Point Clouds of the livMatS Biomimetic Shell at Various Stages of the Construction Process", https://doi.org/10.18419/DARUS-5093, DaRUS, V1
The data set contains the point clouds of different construction stages of the of the building demonstrator 'livMatS Biomimetic Shell' during the manufacturing process, as well as a point cloud of the pavilion after construction of the shell. The data is named according to the numbering of the most recently built element, which does not necessarily... |
Jun 5, 2025 - ABxM Framework for Agent-based Modeling and Simulation
Nguyen, Long; Schwinn, Tobias; Groenewolt, Abel; Maierhofer, Mathias; Zorn, Max Benjamin; Stieler, David; Siriwardena, Lasath; Kannenberg, Fabian; Menges, Achim, 2022, "ABxM.Core: The Core Libraries of the ABxM Framework", https://doi.org/10.18419/DARUS-2994, DaRUS, V5
The ABxM.Core consists of the agent core library ABxM.Core and an interoperability library for Rhino 7 and later versions. ABxM.Core implements the functionality specific to agent-based modelling and simulation. The core library can, in principle, be referenced from any application that is compatible with McNeel’s Rhino.Inside technology. ABxM.Core... |
Jun 4, 2025 - EXC IntCDC Research Project 19 'Co-Design Methods for Developing Distributed Cooperative Multi-Robot Systems for Construction'
Leder, Samuel; Menges, Achim, 2025, "ABxM.DistributedRobotics.RP19: Agent-Based Models for a Modular Collective Robotic Construction System", https://doi.org/10.18419/DARUS-4760, DaRUS, V2
ABxM.DistributedRobotics.RP19 is an add-on to ABxM.Core for agent-based modelling of a collective robotic construction (CRC) system developed in the context of Research Project 19-1 (RP19-1) "Leveraging The Building Material As Part Of The Robotic Kinematic System For Parallel Construction" from the Cluster of Excellence Integrative Computational D... |
Jun 4, 2025 - EXC IntCDC Research Project 19 'Co-Design Methods for Developing Distributed Cooperative Multi-Robot Systems for Construction'
Leder, Samuel; Kubail Kalousdian, Nicolas; Menges, Achim, 2025, "Digital Twin for a Modular Collective Robotic Construction System", https://doi.org/10.18419/DARUS-4761, DaRUS, V1
This dataset contains the digital twin developed for a Collective Robotic Construction (CRC) system, as published in Advanced Science (Leder, S., Kim, H., Oguz, O.S., Kalousdian, N.K., Hartmann, V.N., Menges, A., Toussaint, M., Sitti, M.: 2022, Leveraging Building Material as Part of the In-Plane Robotic Kinematic System for Collective Construction... |
Jun 3, 2025 - demoa
Walter, Johannes R.; Wochner, Isabell; Jacob, Marc; Stollenmaier, Katrin; Lerge, Patrick; Schmitt, Syn, 2022, "allmin: A Reduced Human All-Body Model", https://doi.org/10.18419/DARUS-2982, DaRUS, V3
A reduced all-body model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. This allmin model consists of a musculoskeletal model of the human body with 20 degrees of freedom actuated by 36 muscles. The model is prepared to run muscle-driven simulation. The file contain... |
May 28, 2025 - 2023_DFG_RCAL-IMS
Dzubba, Marcel, 2025, "Replication Data for: A Nonlinear Elasticity Model and Feedforward Compensation Method to Increase Positioning Accuracy of Industrial Robots", https://doi.org/10.18419/DARUS-4118, DaRUS, V1, UNF:6:zienI5zq/UH4/+DnUSkN+A== [fileUNF]
Industrial robots are relatively inexpensive, compared to conventional machining tools. However, they suffer in terms of positioning and tracking accuracy. To overcome this issue, laser trackers can be used to calibrate the robot or even for positioning control. The spherically mounted reflector used must always be visible to the laser tracker. The... |
Schmitt, Syn, 2022, "demoa-base: a biophysics simulator for muscle-driven motion", https://doi.org/10.18419/DARUS-2550, DaRUS, V6
For more information, such as installation, requirements and user guide, please see the demoa manual. The development of this package was supported by “Deutsche Forschungsgemeinschaft” (DFG, German Research Foundation) under Germany’s Excellence Strategy - EXC 2075 - 390740016. |
May 28, 2025 - PN 6-8 (II)
Bauer, Ruben; Evers, Marina; Quang Ngo, Quynh; Reina, Guido; Frey, Steffen; Sedlmair, Michael, 2025, "Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples", https://doi.org/10.18419/DARUS-4930, DaRUS, V1, UNF:6:3NivtJY91pyT7tXMB/YrJQ== [fileUNF]
This dataset contains the data and code for the publication: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples. Code Repository A dynamic version of the code repository can be found at https://github.com/rbnbr/VoroParaSense. The version presented in this dataset corresponds to the version used in the corresponding pape... |
May 28, 2025 - EXC IntCDC Research Project 19 'Co-Design Methods for Developing Distributed Cooperative Multi-Robot Systems for Construction'
Leder, Samuel; Menges, Achim, 2025, "Robotic Plans for the Assembly of A Large-Scale In-Plane Timber Prototype with a Collective Robotic Construction System", https://doi.org/10.18419/DARUS-4758, DaRUS, V1
This data set contains the robotic plans for the assembly of a large-scale in-plane timber prototype with a collective robotic construction (CRC) system published in Automation in Construction (Leder, S., Kim, H., Sitti, M., Menges, A.: 2024, Enhanced Co-Design and Evaluation of a Collective Robotic Construction System for the Assembly of Large-Sca... |
May 28, 2025 - PN 6-4
Schäfer, Noel; Künzel, Sebastian; Tilli, Pascal; Munz-Körner, Tanja; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel, 2025, "Extended Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/DARUS-3909, DaRUS, V1
Source code of our extended visual analysis system to explore scene-graph-based visual question answering. This approach is built on top of the state-of-the-art GraphVQA framework which was trained on the GQA dataset. Additionally, it is an improved version of our system that can be found here Instructions on how to use our system can be found in t... |
