MCU integrates rich communication interfaces, making it easy to connect with various devices and ensuring smooth data interaction. Support multiple navigation methods, combined with visual obstacle avoidance function. Moreover, the controller can accurately regulate the movement of the vehicle body, ensuring stable operation of the robot.
AI pre decision
Cloud edge architecture
Global Ecology
Digital monitoring
Usage scenarios
Advantage
AI pre decision, machine learning predicts order peaks, and actively schedules AGV preheating paths.
Cloud edge collaborative architecture, 5G sinks computing power to the edge end, achieving millisecond level response.
Global ecosystem, supporting multilingual interaction, RCEP tariff adaptation, and shortening international delivery cycles by 25%.
Building a virtual simulation system based on AGVS to simulate complex working conditions in advance and optimize scheduling strategies