Intelligent data management and utilization with advanced AI algorithms for optimal robot operations and real-time insights.
MOROS utilizes MongoDB for dynamic and unstructured data processing, efficiently handling large volumes of robot operational data including loading logs, box identification, palletizing patterns, and FMR movement records.
Effectively visualize Morow's box stacking process and FMR transportation status through 3D displays, enabling operators to intuitively understand the site and respond quickly.
Track box loading status live in 3D
Visualization designed around how operators actually work
| Control Target | Multi-brand / Heterogeneous integration support |
| Operating Function | • Real-time path optimization + collision avoidance support • Integration with external systems (MES) for task execution and result reporting • Robot operation and task execution while controlling external devices such as elevators and automatic doors |
| Deployment Method | Flexible deployment both in cloud and local environments |
| Data Utilization | Operational report generation, simulator and replay functionality |
| Scalability | Free integration of various environments and robots |
| Verified Cases | Applied to various industries including manufacturing, guidance, patrol, serving, and disinfection |
The technical foundations behind MOROS AI-powered intelligence
A database purpose-built for dynamic, unstructured operational data
Efficiently manages the relationships between robots, jobs, and pallets
Data-driven optimization and decision support as operations unfold
Experience smarter robot operations with MOROS's intelligent data management and 3D visualization.
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Roboe Technologies, Inc.
CEO Sanghoon Lee | Business registration number : 299-87-02098 Company: info@roboe.ai | Sales,PR: sales@roboe.ai
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