Dataset and related MATLAB scripts for the IEEE ICRA 2021 paper "Predicting the Post-Impact Velocity of a Robotic Arm via Rigid Multibody Models: an Experimental Study"

DOI:10.4121/14192429.v3
The DOI displayed 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: 10.4121/14192429

Datacite citation style

Saccon, Alessandro; Padois, Vincent (2021): Dataset and related MATLAB scripts for the IEEE ICRA 2021 paper "Predicting the Post-Impact Velocity of a Robotic Arm via Rigid Multibody Models: an Experimental Study". Version 3. 4TU.ResearchData. dataset. https://doi.org/10.4121/14192429.v3
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Version 3 - 2021-03-22 (latest)
Version 2 - 2021-03-15 Version 1 - 2021-03-11
This dataset contains impact data (recording of joint displacement encoders), together with related MATLAB scripts for visualization and post-processing, for several impact experiments performed on a KUKA IV+ collaborative robot colliding a wooden table with a spherical metallic end-effector.
The dataset is associated to the "Predicting the Post-Impact Velocity of a Robotic Arm via Rigid Multibody Models: an Experimental Study" by Ilias Aouaj, Vincent Padois, and Alessandro Saccon, accepted to ICRA 2021.

History

  • 2021-03-11 first online
  • 2021-03-22 published, posted

Publisher

4TU.ResearchData

Format

ZIP

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, Dept. of Mechanical Engineering, Dynamics and Control Section

INRIA Bordeaux Sud-Ouest, AUCTUS team

DATA

Files (1)