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

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 realtime performance and accuracy of control commands.