The University of Sheffield
Download file
Download file
2 files

Experimental data for the characterisation of an automatic fault detection and isolation soft valve for inflatable soft robots

posted on 2022-03-26, 20:48 authored by Marco PontinMarco Pontin
The dataset supports the following publication:
M. Pontin, S. Miyashita and D. Damian, "Development and Characterization of a Soft Valve for Automatic Fault Isolation in Inflatable Soft Robots", 2022 5th IEEE International Conference on Soft Robotics (RoboSoft), 2022.
Please read the README file for detailed information regarding folder structure and file contents.


This work was supported by the EPSRC under Grant EP/S021035/1, and EPSRC ERC DTP Scholarship.



  • There is no personal data or any that requires ethical approval


  • The data complies with the institution and funders' policies on access and sharing

Sharing and access restrictions

  • The data can be shared openly

Data description

  • The file formats are open or commonly used

Methodology, headings and units

  • There is a file including methodology, headings and units, such as a readme.txt