LLM-Based Fleet OS
RoboOrchestrator™
Task-aware heterogeneous multi-robot scheduler
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AI-powered fleet management system that optimizes operations across heterogeneous robot teams with intelligent task allocation.
Key Features
Large Language Model Integration
Multi-Robot Coordination
Adaptive Task Scheduling
Resource Optimization
Real-time Fleet Analytics
Pricing
$100000 USD
Lead time: 3 months
Technical Specifications
Category
LLM-Based Fleet OS
Core Technology
Task-aware heterogeneous multi-robot scheduler
Compatibility
All Seoul Dynamics robot platforms
Integration Time
2-4 weeks (typical)
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