Dataset for "A Soft Grasper with Bioinspired Morphology and Synthetic Nervous System Control Reduces Damage to Deformable Objects and Fruits during Handling"

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Yanjun Li, Ravesh Sukhnandan, Hillel J. Chiel, Victoria A. Webster‐Wood, Roger D. Quinn
DOI: 10.5281/zenodo.18637791
Cited by: 0

Abstract

"Objects.zip" is a dataset containing: Raw 3D scans of PlayDoh and fruits pre- and post- grasp (in ./Deformables) Datalogs of experiments (in ./Datalogs) Videos and pictures of the deformation color maps of the 3D scans (in ./Pictures) Alignment rotation matrices (in ./Processed Scans, for use with Process_visualize_scans.py in the Github repository) "Noise Immunity.zip" is a dataset containing: Datalogs of experiments performed for noise immunity on the real robot using both rigid and soft graspers

Fields of Study & Subjects

Soft Robotics and Applications Robot Manipulation and Learning Prosthetics and Rehabilitation Robotics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 February 2026
Language
EN
Document type
Dataset