The Robot Control System (RCS) can support efficient cross-field and mixed-field collaboration among robots of different brands, types and functions to achieve optimal task allocation and collaborative operation between robots and human beings. With a powerful industrial-grade dispatching algorithm kernel, it can smoothly support the dispatching of more than 1000 robots in the same field, and the cluster scale can be flexibly scaled online. Based on the global optimized artificial intelligence algorithm, it can avoid congestion in time, solve congestion quickly and realize real-time scheduling. With strong robustness, it can form a sound operation and maintenance system based on the generalization and analysis of various kinds of faults in the field, fulfill isolate single point faults from the global situation.

The Warehouse Control System (WCS) can access existing ERP, MES and other systems to quickly configure factory/warehouse business processes and reduce implementation difficulties; It can realize task scheduling and task assignment optimization, and quickly adapt through software adjustments under business changes; It also can reduce management difficulties and significantly improve efficiency through data-assisted decision-making.

In intelligent storage scenario, local errors due to the long process and complex system parameters may caused global bottleneck, through the simulation can quickly find these problems. Intelligent storage simulation system (Simulator) based on flexible business modeling technology, can quickly realize 1:1 simulation of different business scenarios; Based on real business and robot scheduling engine kernel, it can highly restore the real business process; With data supported decision making system, it can fast match different maps, processes, the number of robots, etc., quickly find the optimal solution, quickly find the global bottlenecks. The simulator help customers to optimize their logistics processes and provide a basis for their subsequent improvements.