Design Of A Robot Arm Ignition Simulation Platform Based On Machine Vision

Jiawei Tang; Jian Zhao; Liangping Tu; Yuhang Li; Zewang Qin; Tianlong Bao; Dongjun Jiang

doi:10.47297/taposatWSP2633-456915.20240505

PDF
Export
Share
Collection
Album

Design Of A Robot Arm Ignition Simulation Platform Based On Machine Vision

Volume 5, Issue 5

Views: 0 Downloads: 0

Design Of A Robot Arm Ignition Simulation Platform Based On Machine Vision
Design Of A Robot Arm Ignition Simulation Platform Based On Machine Vision
Liaoning University of Science and Technology, Liaoning. China
Vol. 5, Issue 5, Pages: 85-94(2024)
Published： 30 October 2024 ，
DOI：10.47297/taposatWSP2633-456915.20240505
Accepted：

Scan QR Code

Tang Jiawei,Zhao Jian,Tu Liangping,et al.Design Of A Robot Arm Ignition Simulation Platform Based On Machine Vision[J].Theory and Practice of Science and Technology,2024,05(05):85-94.
DOI：

Tang Jiawei,Zhao Jian,Tu Liangping,et al.Design Of A Robot Arm Ignition Simulation Platform Based On Machine Vision[J].Theory and Practice of Science and Technology,2024,05(05):85-94. DOI： 10.47297/taposatWSP2633-456915.20240505.

摘要

Abstract

The purpose of this paper is to design a robot arm ignition simulation platform based on machine vision to solve the shortcomings of the automatic ladle opening and pouring technology in the steel smelting process and to overcome the limitations of the traditional ignition methods. By combining the machine vision technology and the automated operation of robotic arm

this paper proposes an innovative ignition simulation platform

aiming to improve the automation level and productivity of steel smelting. The research methodology includes the development of machine vision algorithms

the design of robotic arm control system and the implementation of simulation experiments. The main achievements include the realization of precise ignition control based on machine vision

which improves the accuracy and stability of ignition. The innovation lies in the combination of machine vision technology and robotic arm operation

which realizes the intelligent control of automatic opening and pouring of steel ladle in the steel smelting process.

关键词

Keywords

Robotic armIgnition simulation platformIron and steel smeltingAutomatic pouring

references

Obstacle avoidance in space robotics: Review of major challenges and proposed solutions[J]. Tomasz Rybus.Progress in Aerospace Sciences,2018

Manipulator motion planning using flexible obstacle avoidance based on model learning[J]. Zhixuan Wei;;Weidong Chen;;Hesheng Wang;;Jingchuan Wang.International Journal of Advanced Robotic Systems,2017

Asynchronous Methods for Deep Reinforcement Learning.[J]. Volodymyr Mnih;Adrià Puigdomènech Badia;Mehdi Mirza;Alex Graves;Timothy P. Lillicrap;Tim Harley;David Silver;Koray Kavukcuoglu.CoRR,2016

Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots.[J]. Lei Tai;Ming Liu 0001.CoRR,2016

Continuous control with deep reinforcement learning.[J]. Timothy P. Lillicrap;Jonathan J. Hunt;Alexander Pritzel;Nicolas Heess;Tom Erez;Yuval Tassa;David Silver;Daan Wierstra.CoRR,2015

Reinforcement Learning: An Introduction; by Richard S. Sutton and Andrew G. Barto, Adaptive Computation and Machine Learning series, MIT Press (Bradford Book), Cambridge, Mass., 1998, xviii + 322 pp, ISBN 0262193981,[J]. Alex M. Andrew.Robotica,1999(2)

Alert me when the article has been cited

Submit

No data

Related Author

No data

Related Institution

No data

⁰