Virtual UR5 Robot for Online Learning of Inverse Kinematics and Independent Joint Control Validated with FSM Position Control

Author:

Arenas-Rosales Filemon1ORCID,Martell-Chavez Fernando1ORCID,Sanchez-Chavez Irma Y.2ORCID,Paredes-Orta Carlos A.3ORCID

Affiliation:

1. Centro de Investigaciones en Optica, Aguascalientes 20200, Mexico

2. Universidad Politecnica de Aguascalientes, Aguascalientes 20342, Mexico

3. CONACYT—Centro de Investigaciones en Optica, Aguascalientes 20200, Mexico

Abstract

Virtual remote laboratories have already been successfully implemented in educational centers for practical learning of mechatronics and robotic systems. This article presents the development of a virtual articulated UR-type robot, designed as an educational tool that is suitable for programming and evaluating both the inverse kinematics control of the robot and the independent control of the robot joints. The 3D model of the virtual robot was developed in the Blender V2.79 software and uses the Modbus TCP industrial communication protocol for the communication to an external controller implemented in CoDeSys V3.5 software. The developed system allows the students to generate and test their own control algorithm for the robot joints with the visualization of the achieved performance in 3D and real time. Tailored control systems can be compared on the virtual robot. In this study, a novel technique for the joint position control based on an FSM is proposed and verified with the virtual UR5 robots to prove that the developed system is a suitable platform to teach and learn the inverse kinematics control and independent joint control of the UR5 robotic arm.

Publisher

MDPI AG

Subject

Artificial Intelligence,Control and Optimization,Mechanical Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on Gait Switching Method Based on Speed Requirement;Journal of Bionic Engineering;2024-09-04

2. A Low-Cost Robotic Arm Manipulator Model for Enhancing Student Learning in an Industrial Robots Course;2023 IEEE Frontiers in Education Conference (FIE);2023-10-18

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