Research on Object Grasping Point Selection Based on Deep Learning

DOI

10.2991/icaita-18.2018.16How to use a DOI?

Keywords

deep learning; depth image; grasping points

Abstract

The research on robot grasping involves mechanical, control, computer, artificial intelligence and so on. Robot Grasping is also a good emplementation of minimal research to support other related research. Efforts on flexibility and interactivity of robot grasping can promote many related studies. In this paper, convolutional neural network is used to study the grasp candidates selection of two-finger robot grasp. The experient explained the processes of select candidate points in detail, the results of the convolutional neural network in the grasp candidates selection is verified through experiments.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Bo Yuan
AU  - Shukai Qin
AU  - Hualiang Zhang
AU  - Tao Zhang
AU  - Xiaolong Yu
PY  - 2018/03
DA  - 2018/03
TI  - Research on Object Grasping Point Selection Based on Deep Learning
BT  - Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)
PB  - Atlantis Press
SP  - 62
EP  - 65
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-18.2018.16
DO  - 10.2991/icaita-18.2018.16
ID  - Yuan2018/03
ER  -