Research on Intelligent Picking-robot System Based on FPGA and Neural Network

DOI

10.2991/icaset-16.2016.10How to use a DOI?

Keywords

FPGA, Neural network, Picking-robot, Intelligent

Abstract

In order to solve inaccurate picking caused by the nonlinear input and output with the traditional picking measuring robot system, this article will put forward a new robot picking system based on FPGA and neural network. Comparing with the traditional robot system, the new one can enhance the linear relationship between the input and output. By integrating the complex robot control system into FPGA chip, it will not only greatly decrease the cost of development, but also realize the online upgrade and enhance the accuracy of picking by using neural network algorithm. The result shows that the speed of the robot system is very accurate and can greatly improve the efficiency of picking.

Copyright

© 2016, 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  - Hai-Liu Xiao
AU  - Yan-Ping Wei
PY  - 2016/05
DA  - 2016/05
TI  - Research on Intelligent Picking-robot System Based on FPGA and Neural Network
BT  - Proceedings of the 2016 6th International Conference on Applied Science, Engineering and Technology
PB  - Atlantis Press
SP  - 54
EP  - 59
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaset-16.2016.10
DO  - 10.2991/icaset-16.2016.10
ID  - Xiao2016/05
ER  -