The Application of CoppeliaSim EDU in Robot Course Teaching

Yan Zhang; Bin Feng; Guofeng Zhang; Xueming Bai

doi:10.54097/as82qn67

Authors

Yan Zhang
Bin Feng
Guofeng Zhang
Xueming Bai

DOI:

https://doi.org/10.54097/as82qn67

Keywords:

Robot Teaching, Virtual Simulation Teaching, Robot Simulation Experiment

Abstract

CoppeliaSim EDU, as a powerful tool for robot teaching, is changing the traditional teaching mode. This software provides a comprehensive robot simulation environment where users can explore different scenarios, models, and programming interfaces to gain a deeper understanding of robot technology. Its advantage lies in reducing the cost and potential security risks of physical robots, making robot education more widespread and secure. In actual teaching, teachers can use CoppeliaSim EDU for course design, guide students to carry out robot programming and simulation experiments, and improve teaching effectiveness. Through case analysis, it can be found that using CoppeliaSim EDU can better stimulate students' interest in learning, improve their practical ability and innovative thinking. In the future, with the continuous development of robotics technology, the application prospects of CoppeliaSim EDU will be even broader, bringing more possibilities for robot education.

Downloads

Download data is not yet available.

References

Majd K ,Enric C ,P. A P D. An Omnidirectional Platform for Education and Research in Cooperative Robotics. Electronics, 2022, 11(3):499-499.

Dimitris A ,D A ,A E , et al.Technologies for an inclusive robotics education. Open Research Europe, 2021, pp. 140-40.

Tao Zhang, et al. Fast Realization of Robot 3D Simulation Based on WebGL. School of Electrical Engineering, Dalian University of Technology; Shenyang Institute of Automation, Chinese Academy of Sciences; Key Laboratory of Networked Control Systems,Chinese Academy of Sciences; Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences; School of Electrical Engineering, Shenyang University of Technology, 2023, 263-267. doi:10.26914/ c.cnkihy. 2023.029613.

Jaemin Y, Bukun S, Dongjun L. Comparative Study of Physics Engines for Robot Simulation with Mechanical Interaction. Applied Sciences, 2023, 13(2):680-680.

Robot simulator CoppeliaSim: create, compose, simulate, any robot - Coppelia Robotics. Available: https:// https://www. coppeliarobotics.com/.

Andrew F, Jie W, A. J M. How to pick a mobile robot simulator: A quantitative comparison of CoppeliaSim, Gazebo, MORSE and Webots with a focus on accuracy of motion. Simulation Modelling Practice and Theory, 2022, 120.

Development and Application of Robotics Education Program based on Entrepreneurship for Engineering College Students in IT major. INTERNATIONAL CONFERENCE ON FUTURE INFORMATION COMMUNICATION ENGINEERING, 2019, 11(1): 158-161.

Yeshmukhametov A ,Koganezawa K. A Simplified Kinematics and Kinetics Formulation for Prismatic Tensegrity Robots: Simulation and Experiments. Robotics, 2023, 12(2).

H. S B A. Virtual robotics in education: The experience of eighth grade students in STEM. Frontiers in Education, 2022, 7.

Kim V ,J. L J T, Olivier B V. The relation between computational thinking and logical thinking in the context of robotics education#13. Frontiers in Education, 2022, 7.

Vicky Q C, Huili H, et al. Developing a Robotics Program to Support Students’ Computational Thinking: a Design-based Study. TechTrends, 2023, 67(6): 965-976.

Hantao H ,Junxing Z ,Quan S, et al. Simulation of Realistic Particles with Bullet Physics Engine. E3S Web of Conferences, 2019, 9214004.

Shengchao Z, Chaoqun M, Haowen X, et al. Robust approximate constraint following control for SCARA robots system with uncertainty and experimental validation. Control Engineering Practice, 2023, 138.