Modeling and Simulation of Mobile Robot Based on VREP

Zhenzhen Zhang, Jixuan Liu, Guoping Wang, Chen Zhang, Yuntao Liu, Lingqi Yang

2023

Abstract

In view of the problems of high computational complexity and poor repeatability in traditional mobile robot modeling and simulation methods, this paper studied the rapid modeling and simulation of mobile robot based on VREP to improve computational efficiency and repeatability. Firstly, the motion analysis and modeling of mobile robot are introduced, and the advantages of its application in mobile robot simulation are analyzed. Then, the modeling method of mobile robot based on VREP is described in detail, including the selection of robot model, the setting of kinematics and dynamics parameters. Finally, the feasibility and effectiveness of the proposed modeling method are verified through simulation experiments using VREP software.

Paper Citation

in Harvard Style

Zhang Z., Liu J., Wang G., Zhang C., Liu Y. and Yang L. (2023). Modeling and Simulation of Mobile Robot Based on VREP. In Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT; ISBN 978-989-758-677-4, SciTePress, pages 75-79. DOI: 10.5220/0012274200003807

in Bibtex Style

@conference{anit23,
author={Zhenzhen Zhang and Jixuan Liu and Guoping Wang and Chen Zhang and Yuntao Liu and Lingqi Yang},
title={Modeling and Simulation of Mobile Robot Based on VREP},
booktitle={Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT},
year={2023},
pages={75-79},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012274200003807},
isbn={978-989-758-677-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT
TI - Modeling and Simulation of Mobile Robot Based on VREP
SN - 978-989-758-677-4
AU - Zhang Z.
AU - Liu J.
AU - Wang G.
AU - Zhang C.
AU - Liu Y.
AU - Yang L.
PY - 2023
SP - 75
EP - 79
DO - 10.5220/0012274200003807
PB - SciTePress