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: 10.4121/51de87d3-1c8e-4849-96cd-8045c5e6ab7f

Jongeneel, Maarten; Sander Dingemans; Bernardino, Alexandre; van de Wouw, Nathan; Saccon, Alessandro (2023): I.AM. dataset containing box-toss experiments with Box006, Box007, and Box009 for validation of impact-aware object tracking. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/51de87d3-1c8e-4849-96cd-8045c5e6ab7f.v2

Dataset

x choose version: version 1 - 2023-09-12

• Mechanical Engineering
• Engineering

Collision, Computer Vision, Friction, Impact, Impact-Aware Manipulation, Modeling, Nonsmooth Mechanics, Object, Object Tracking, Robotics

CC BY-NC-SA 4.0

• Impact-Aware Robotics Database

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

by Maarten Jongeneel , Sander Dingemans , Alexandre Bernardino , Nathan van de Wouw , Alessandro Saccon

I.AM. dataset as part of the Impact-Aware Robotics Archives Collection. This archive contains recordings of experiments where Box006, Box007, and Box009 are tossed on a running conveyor, with and an industrial background from two different viewpoints. The purpose of these experiments is to validate the impact-aware object tracking algorythm for tossed boxes in logistic environments. The involved contact is between the object and the environment, which in these recordings are Box006, Box007, and Box009 and a conveyor (Conveyor002), respectively. All the recordings in the archive were performed at the Innovation Lab of Vanderlande, located within the TU/e campus. More information about the dataset, the objects, and the environments used, can be found on https://impact-aware-robotics-database.tue.nl/. 

• 2023-09-12 first online

• 2023-11-06 published, posted

4TU.ResearchData

.hdf5; .md

• 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, Dynamics and Control Group