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: 10.4121/21554478

Jongeneel, Maarten; Sander Dingemans; van den Brandt, Gijs (2022): IAM Archive containing dual-arm grabbing experiments. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21554478.v1

Dataset

• Mechanical Engineering

Collision, dual-arm manipulation, Environment, Friction, Impact, Modeling, Nonsmooth Mechanics, Object, Robot, Robotics

CC BY-NC-SA 4.0

• Impact-Aware Robotics Archives Collection
• Impact-Aware Robotics Database

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

by Maarten Jongeneel , Sander Dingemans , Gijs van den Brandt

I.AM. archive as part of the Impact-Aware Robotics Archives Collection. This archive contains recordings of experiments where Box008 is picked up using two Franka Emika Panda robots to represent a depalatizing scenario. The purpose of these experiments is to validate the simulation software on a scenario relevant for the GRAB scenario of the I.AM. project. The involved contact is between the robot, object, and the environment, which in these recordings are two Franka Emika Panda robots, Box008, and a table, 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/.  

• 2022-12-01 first online, published, posted

4TU.ResearchData

md, HDF5

• 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