The YCB object and Model set: Towards common benchmarks for manipulation research

B. Çalli, Arjun Singh, Aaron Walsman, S. Srinivasa, P. Abbeel, A. Dollar
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引用次数: 604

Abstract

In this paper we present the Yale-CMU-Berkeley (YCB) Object and Model set, intended to be used for benchmarking in robotic grasping and manipulation research. The objects in the set are designed to cover various aspects of the manipulation problem; it includes objects of daily life with different shapes, sizes, textures, weight and rigidity, as well as some widely used manipulation tests. The associated database provides high-resolution RGBD scans, physical properties and geometric models of the objects for easy incorporation into manipulation and planning software platforms. A comprehensive literature survey on existing benchmarks and object datasets is also presented and their scope and limitations are discussed. The set will be freely distributed to research groups worldwide at a series of tutorials at robotics conferences, and will be otherwise available at a reasonable purchase cost.
YCB对象和模型集:面向操作研究的通用基准
在本文中,我们提出了耶鲁- cmu -伯克利(YCB)对象和模型集,旨在用于机器人抓取和操作研究的基准测试。集合中的对象旨在涵盖操作问题的各个方面;它包括不同形状、大小、质地、重量和硬度的日常生活用品,以及一些广泛使用的操作试验。相关数据库提供高分辨率的RGBD扫描、物体的物理特性和几何模型,便于合并到操作和规划软件平台中。对现有基准和对象数据集进行了全面的文献调查,并讨论了它们的范围和局限性。该套件将在机器人会议的一系列教程中免费分发给世界各地的研究小组,否则将以合理的价格购买。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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