Modeling and Simulation of ABB IRB 140 Robot using Neural Networks

被引:0
|
作者
Elgabaly, Omnia [1 ]
Ammar, Hossam H. [1 ]
Ismail, Samar M. [1 ]
机构
[1] Univ Hertfordshire, Sch Engn & Comp Sci, Mech Engn & Mechatron, Cairo, Egypt
来源
2024 INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE AND SMART INNOVATION, ICMISI 2024 | 2024年
关键词
ABB IRB 140; Kinematics; Denavit-Hartenberg; Workspace; Trajectory Planning; Neural Networks in Robotics; Computer Vision; Robotics Toolbox; Coppeliasim V-REP; Automated Service; Cooperation;
D O I
10.1109/ICMISI61517.2024.10580405
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper delves into the realm of robotic arms, a specialized category of mechanical arms capable of executing diverse functions through the implementation of various simulation tools and MATLAB. Also employing neural networks, a passive enhancement is achieved in terms of overall performance, as the robotic arms are driven by meticulously modeled motors. This integration allows for a more refined exploration of the intricate movements and responses of the robotic arms, ultimately contributing to their enhanced capabilities and versatility. The study highlights the significance of this integration in optimizing the execution of diverse tasks, showcasing the potential for advancements in the field of robotic arm technology.
引用
收藏
页码:206 / 209
页数:4
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