R C S Robot Scheduling System
Ruixi Intelligent's independently developed robot scheduling system is compatible with AGVs of different brands, achieving unified scheduling. Deep reinforcement learning based artificial intelligence scheduling algorithm for task allocation, path planning, and traffic management. Real time monitoring of robot status, management of maintenance and charging, and recording of alarm information
Efficient and seamless integration
It can efficiently and seamlessly integrate with existing WMS/ERP/MES systems, achieving autonomous and flexible optimization of work processes.
Efficient and seamless integration
Automated handling
Control and schedule various robots to achieve automation of material and finished product handling in production lines and warehouses.
Automated handling
Lower maintenance cost
Driven by a core business scheduling optimization engine, it provides a comprehensive digital visualization and central control system to reduce operation and maintenance costs.
Lower maintenance cost
Realize enterprise value
With super performance, intelligent algorithms, and ease of use, it helps enterprises achieve unmanned upgrading of internal logistics in all scenarios.
Realize enterprise value
Function Introduction
The RCS robot scheduling system can perform reasonable path planning, autonomous charging, obstacle avoidance, etc., and can construct a map with multiple brands of AGVs simultaneously. Seamless integration with various enterprise systems such as WMS, MES, ERP, etc. Comprehensively manage the operational status of robots, achieving transparency, integration, and intelligence in production and logistics management. On the basis of ensuring no congestion, provide various processing mechanisms such as shortest path form, avoidance control, and path re planning control. Support simultaneous allocation of multiple tasks, considering various combination relationships, real-time robot status, and other factors, to allocate robots that perform tasks reasonably. Dynamically manage the driving direction of various drivable roads, main roads, and intersection areas in the world model to avoid road congestion.
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