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GALAXIS Computational Intelligence (CI)
GALAXIS Computational Intelligence (CI) is a business-driven algorithmic framework designed to address the operational demands of diverse industries. Leveraging our extensive on-site experience, deep cross-industry insights, and proprietary digital twin technology, CI enables seamless coordination and control among robotic products within an integrated operational ecosystem.
By optimizing real-world operational data, CI enhances task orchestration between robotic systems and enterprise-level platforms, improving workflow efficiency while reducing implementation risks.
Multi-Layer Integration
Seamlessly integrates robots with WMS, WCS, and RCS systems to enable end-to-end operational intelligence and unified management.
System-Level Modeling
Develops queueing network and digital twin models for inbound, replenishment, picking, packing, and shipping processes to analyze and optimize overall system performance.
Algorithmic Optimization
Covers task scheduling, path planning, deadlock prevention, and inventory allocation.
Application
Intelligent Task Scheduling
By integrating multiple advanced algorithms—including scheduling optimization, path planning, and deadlock resolution—the CI platform achieves global optimization in robotic task allocation and workflow efficiency.
Key Benefits:
Reduces path conflict rate by 40%
Scheduling response time of less than 500 ms
Algorithms dynamically adapt to task density and real-time warehouse conditions.
Digital Twin Simulation
The digital twin platform builds virtual models of the entire logistics center — covering inbound, storage, picking, packing, and shipping — enabling risk-free simulation testing and algorithm validation.
Key Benefits:
Optimizes system bottlenecks and reduces deployment time by 25%
Supports seamless data integration across WMS, WCS, and RCS systems