Visual and tactile 3D point cloud data from real robots for shape modeling and completion.

ABSTRACT: Representing 3D geometry for different tasks, e.g. rendering and reconstruction, is an important goal in different fields, such as computer graphics, computer vision and robotics. Robotic applications often require perception of object shape information extracted from sensory data that can be noisy and incomplete. This is a challenging task and in order to facilitate analysis of new methods and comparison of different approaches for shape modeling (e.g. surface estimation), completion and exploration, we provide real sensory data acquired from exploring various objects of different complexities. The dataset includes visual and tactile readings in the form of 3D point clouds obtained using two different robot setups that are equipped with visual and tactile sensors. During data collection,

SUBMITTER: Bekiroglu Y 

PROVIDER: S-EPMC7125316 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature