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: 10.4121/4567b5a9-f869-4cc5-af08-39f02feb5bed

Oliva, Alexander; Jongeneel, Maarten; Saccon, Alessandro (2024): I.AM. Archive containing experiments of a UR10 with suction gripper holding a Variable Inertia Object for suction cup stiffness identification. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/4567b5a9-f869-4cc5-af08-39f02feb5bed.v1

Dataset

• Mechanical Engineering
• Engineering

Identification, Manipulation, Modeling, Robotics, Suction Cup, Validation

CC BY-NC-SA 4.0

• Impact-Aware Robotics Archives Collection

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Alexander Oliva , Maarten Jongeneel , Alessandro Saccon

I.AM. dataset as part of the Impact-Aware Robotics Database. This dataset contains recordings of experiments with a robotic arm (UR10), holding a Variable Inertia Object with different inertias via a suction cup under vacuum. The purpose of these experiments is to identify the model parameters of a newly developed 6D suction cup model and validate this model under different circumstances. The involved contact is between the robot end-effector and the object.

• 2024-09-12 first online, published, posted

4TU.ResearchData

HDF5, md

A compact 6D suction cup model for robotic manipulation via symmetry reduction

• https://impact-aware-robotics-database.tue.nl/

• Impact Aware Manipulation by Dexterous Robot Control and Learning in Dynamic Semi-Structured Logistic Environments (grant code 871899) [more info...] European Commission

Eindhoven University of Technology, Department of Mechanical Engineering, Robotics Group;