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 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
choose version:
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)