Grasping Trajectories Dataset
收藏arXiv2025-09-30 收录
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https://sites.google.com/asu.edu/affordance-aware-imitation/project
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资源简介:
该数据集包含了27个轨迹,这些轨迹是通过机械臂与各种杯子互动来学习抓握的可行线索而收集的。数据集涵盖了杯子的各种可供性特征,并用于评估抓握成功率。规模上,共收集了27个轨迹,涉及24种不同的杯子。该任务旨在研究机器人抓握。
This dataset contains 27 trajectories collected to gather feasible grasping cues through interactions between a robotic arm and various cups. It covers diverse affordance characteristics of cups and is utilized to evaluate grasping success rates. In terms of dataset scale, a total of 27 trajectories involving 24 distinct types of cups were collected. This task aims to investigate robotic grasping.



