Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)

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Design and Implementation of a Gesture Recognition-Based Control System for a Mecanum-Wheeled Vehicle

Authors
Chenming Mao1, *
1College of Automation, Nanjing University of Aeronautics and Astronautics, 213300, No.29 Binhe East Road, Liyang, Jiangsu Province, China
*Corresponding author. Email: mcm-zdh@nuaa.edu.cn
Corresponding Author
Chenming Mao
Available Online 18 February 2026.
DOI
10.2991/978-94-6463-986-5_41How to use a DOI?
Keywords
Embedded control; Gesture recognition; Closed-loop control; Human-robot interaction
Abstract

This study focuses on the industry pain points of traditional mobile robot control methods, such as high operational thresholds and monotonous interaction experiences. It innovatively designs and implements a set of Mecanum wheel trolley control systems based on gesture recognition technology. The research team deeply integrates the unique mechanical characteristics of the Mecanum wheels’ omnidirectional movement. Through the precise mechanical design of 45° inclined rollers, combined with gesture recognition algorithms in computer vision, a closed-loop control system with hardware modularization and a three-layer software architecture is constructed. At the hardware level, the system adopts a metal frame to integrate four Mecanum wheels, drive motors, and an embedded controller. It optimizes the profile layout through finite element analysis, achieving a lightweight design within a relatively small size range. At the software level, a complete signal flow is established, covering gesture image acquisition, feature extraction, command generation, kinematic solution, and motor control. The UDP protocol is used for data transmission to ensure real-time performance and accuracy of control commands.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)
Series
Advances in Engineering Research
Publication Date
18 February 2026
ISBN
978-94-6463-986-5
ISSN
2352-5401
DOI
10.2991/978-94-6463-986-5_41How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Chenming Mao
PY  - 2026
DA  - 2026/02/18
TI  - Design and Implementation of a Gesture Recognition-Based Control System for a Mecanum-Wheeled Vehicle
BT  - Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)
PB  - Atlantis Press
SP  - 403
EP  - 412
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-986-5_41
DO  - 10.2991/978-94-6463-986-5_41
ID  - Mao2026
ER  -