Key points are not available for this paper at this time.
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.
Building similarity graph...
Analyzing shared references across papers
Loading...
Berk Çallı
Worcester Polytechnic Institute
Arjun Singh
University of California, Berkeley
Aaron Walsman
Harvard University Press
University of California, Berkeley
Yale University
Carnegie Mellon University
Building similarity graph...
Analyzing shared references across papers
Loading...
Çallı et al. (Wed,) studied this question.
synapsesocial.com/papers/6a0fb5f5d8c5cf602efd111c — DOI: https://doi.org/10.1109/icar.2015.7251504