Understanding URDF: A Dataset and Analysis
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Abstract (arXiv)
As the complexity of robot systems increases, it becomes more effective to simulate them before deployment. To do this, a model of the robot's kinematics or dynamics is required, and the most commonly used format is the Unified Robot Description Format (URDF). This article presents, to our knowledge, the first dataset of URDF files from various industrial and research organizations, with metadata describing each robot, its type, manufacturer, and the source of the model. The dataset contains 322 URDF files of which 195 are unique robot models, meaning the excess URDFs are either of a robot that is multiply defined across sources or URDF variants of the same robot. We analyze the files in the dataset, where we, among other things, provide information on how they were generated, which mesh file types are most commonly used, and compare models of multiply defined robots. The intention of this article is to build a foundation of knowledge on URDF and how it is used based on publicly available URDF files. Publishing the dataset, analysis, and the scripts and tools used enables others using, researching or developing URDFs to easily access this data and use it in their own work.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Aug 2023.
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Citing papers per year: 2024: 2; 2025: 2; 2026: 3.
7 papers.
- 2025Digital Twin Generation from Visual Data: A Surveycited by 7
- 2024UniAff: A Unified Representation of Affordances for Tool Usage and Articulation with Vision-Language Modelscited by 6
- 2024TalkWithMachines: Enhancing Human-Robot Interaction for Interpretable Industrial Robotics Through Large/Vision Language Modelscited by 4
- 2025SPLATART: Articulated Gaussian Splatting with Estimated Object Structurecited by 1
- 2026Real-Time Localization Framework for Autonomous Basketball Robotscited by 0
- 2026ArtiMo: Agent-Driven Articulated Mesh Animationcited by 0
- 2026Screw Attention: Rigid-Body Algebra Inside a Transformercited by 0
- 2026Screw Attention: Rigid-Body Algebra Inside a Transformer1 Oct 2026
- 2026ArtiMo: Agent-Driven Articulated Mesh Animation21 Aug 2026
- 2026Real-Time Localization Framework for Autonomous Basketball Robots13 Jan 2026
- 2025SPLATART: Articulated Gaussian Splatting with Estimated Object Structure13 Jun 2025
- 2025Digital Twin Generation from Visual Data: A Survey17 Apr 2025
- 2024TalkWithMachines: Enhancing Human-Robot Interaction for Interpretable Industrial Robotics Through Large/Vision Language Models19 Dec 2024
- 2024UniAff: A Unified Representation of Affordances for Tool Usage and Articulation with Vision-Language Models30 Sep 2024