A Comprehensive Dataset of Grains for Granular Jamming in Soft Robotics: Grip Strength and Shock Absorption

本数据集由澳大利亚联邦科学与工业研究组织创建，包含35种颗粒材料，用于软机器人中的颗粒阻塞研究，主要关注抓握力和冲击吸收性能。数据集涵盖了广泛的形状、大小和硬度，包括自然、制造和3D打印材料。创建过程涉及两项主要实验，分别测量抓握力和冲击吸收性能。该数据集的应用领域包括软机器人技术，旨在解决颗粒选择对软机器人性能的影响问题，特别是在抓握和冲击吸收方面。

This dataset was created by the Commonwealth Scientific and Industrial Research Organisation (CSIRO) of Australia. It encompasses 35 types of granular materials, designed for research on particle jamming in soft robotics, with a primary focus on grasping force and impact absorption performance. The dataset covers a wide range of shapes, sizes and hardness levels, including natural, manufactured and 3D-printed materials. Two major experiments were carried out during its development, which respectively measure grasping force and impact absorption performance. The intended application domain of this dataset is soft robotics, aiming to address the impact of particle selection on soft robotic performance, particularly in grasping and impact absorption-related tasks.