Dataset for classifying and estimating the position, orientation, and dimensions of a list of primitive objects.
Journal:
BMC research notes
Published Date:
Jul 28, 2022
Abstract
OBJECTIVES: Robotic systems are moving toward more interaction with the environment, which requires improving environmental perception methods. The concept of primitive objects simplified the perception of the environment and is frequently used in various fields of robotics, significantly in the grasping challenge. After reviewing the related resources and datasets, we could not find a suitable dataset for our purpose, so we decided to create a dataset to train deep neural networks to classify a primitive object and estimate its position, orientation, and dimensions described in this report.
