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"
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 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14192429.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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.
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, published, posted
Publisher
4TU.ResearchDataFormat
ZIPFunding
- 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 SectionINRIA Bordeaux Sud-Ouest, AUCTUS team
DATA - not available
Data is undisclosed.
