I.AM. Archive containing experiments of a UR10 with vacuum gripper flipping and stacking boxes in a container for sequence 5

doi:10.4121/a23fe774-609a-4045-b7dd-0dcf02b34229.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/a23fe774-609a-4045-b7dd-0dcf02b34229
Datacite citation style:
Jongeneel, Maarten; Oliva, Alexander; Saccon, Alessandro (2024): I.AM. Archive containing experiments of a UR10 with vacuum gripper flipping and stacking boxes in a container for sequence 5. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/a23fe774-609a-4045-b7dd-0dcf02b34229.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

I.AM. dataset as part of the Impact-Aware Robotics Database. This dataset contains recordings of experiments with a robotic arm (UR10) that is manipulating various objects that arrive at a conveyor belt and places them into a container. This is also known as the Bin-Packing-Problem. The purpose of these experiments is to validate the modeling framework that includes the robot, gripper with suction cup, and the interaction with the objects and the surroundings. Therefore, these experiment support the validation of simulations run in a simulator based on these models, for which we use Algoryx Dynamics. In total, five different sequences are executed with different boxes arriving at the conveyor and this dataset contains one of these sequences. The whole experiment is executed 3 times. Besides these experiments, the dataset contains a calibration experiment used to calibrate the Force/Torque sensor placed between the robot and the gripper. This datasets concerns Sequence 5.

history
  • 2024-09-12 first online, published, posted
publisher
4TU.ResearchData
format
HDF5, md
funding
  • Impact Aware Manipulation by Dexterous Robot Control and Learning in Dynamic Semi-Structured Logistic Environments (grant code 871899) [more info...] European Commission
organizations
Eindhoven University of Technology, Department of Mechanical Engineering, Robotics Group

DATA

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