Replication data for the "Sim-To-Real Reinforcement Learning Pipeline For Vision-Based Industrial Tasks" paper

This readme file was generated on 2026-05-05 by Enaitz Berrocal GENERAL INFORMATION Title of Dataset: Replication data for the "Sim-To-Real Reinforcement Learning Pipeline For Vision-Based Industrial Tasks" paper Abstract: This dataset contains data generated during the experiments and validation of the Sim-To-Real Reinforcement Learning Pipeline For Vision-Based Industrial Tasks, generated in the control loop of the RL Manager node. Author Name: Enaitz Berrocal Molano ORCID: 0009-0002-7904-0007 Institution: Tecnalia Address: Mikeletegi Pasealekua 7, Donosti-San Sebastian, 20009, Basque Country, Spain Email: [e-mail] Author Name: Aitor Ibarguren Soldevilla ORCID: 0000-0002-1601-3645 Institution: Tecnalia Address: Mikeletegi Pasealekua 7, Donosti-San Sebastian, 20009, Basque Country, Spain Email: [e-mail] Additional Information Date of data collection: From 2026-04-13 to 2026-04-17 Geographic location of data collection: Donostia/San Sebastián, Spain Information about funding sources that supported the collection of the data: Funder name: European Union Horizon Europe Project identifier: RENEE (Grant agreement 101138415) SHARING/ACCESS INFORMATION Licenses/restrictions placed on the data: CC BY 4.0 Dataset doi: 10.5281/zenodo.20034299 DATA & FILE OVERVIEW dataset/ ├── README.md │ ├── static_env/ │ ├── static_strategy/ | | ├── T1.CSV | | ├── T2.CSV | | └── ... | | │ ├── semi_static_strategy/ | | ├── T1.CSV | | ├── T2.CSV | | └── ... │ │ │ └── dynamic_strategy/ | ├── T1.CSV | ├── T2.CSV | └── ... │ └── dynamic_env/ ├── static_strategy/ | ├── T1.CSV | ├── T2.CSV | └── ... | ├── semi_static_strategy/ | ├── T1.CSV | ├── T2.CSV | └── ... │ └── dynamic_strategy/ ├── T1.CSV ├── T2.CSV └── ... METHODOLOGICAL INFORMATION Description of methods used for collection/generation of data: Generated on the control loop of the RL Manager node, developed on ROS2 as a Python node, with a frequency of 30Hz. In each ROS2 call, the node generates a CSV file containing the Z error and pixel error used to generate the joint velocity commands. Specific Information for tabular data DATA-SPECIFIC INFORMATION FOR: T*.csv All T\*.csv data files use comma (,) as the delimiter. Description: All files contains the trajectory executed by the robot using a RL model. Number of variables: 15 Number of cases/rows:1000 Variable List: U: Object pixel U relative to the camera Units: pixel Range: [0-480] V: Object pixel V relative to the camera Units: pixel Range: [0-360] Z: Robot height Units: m Range: [0-480] a₁–a₆: Joint actions (movement per joint) Units: rad v₁–v₆: Joint velocities Units: rad / s