InOrbit uses a declarative configuration model where you define what your robots should do, not how. Each configuration kind represents a specific aspect of your fleet setup—from data ingestion to incident alerts to custom dashboards. Configuration objects follow a consistent structure:Documentation Index
Fetch the complete documentation index at: https://inorbitinc.mintlify.app/llms.txt
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Data & Monitoring
Data Sources
Extract robot data from ROS topics, key-value stores, or computed expressions into queryable attributes
Status Definitions
Define robot health status rules that flag problems based on data source values
Incident Definitions
Configure when to create incidents and how to notify operators
KPI Definitions
Aggregate fleet metrics for performance analysis and reporting
Robot Control
Action Definitions
Define commands that operators can trigger on robots
Mission Definitions
Create reusable mission sequences with waypoints, actions, and conditions
Mission Tracking
Configure how mission progress and performance are monitored
Traffic Management
Define traffic zones and rules for safe multi-robot navigation
User Interface
Dashboards
Build custom monitoring interfaces with widgets and layouts
Preferences
Configure UI defaults and widget behavior settings
Robot Configuration
Robot Footprint
Define the physical footprint shown on maps for collision visualization
Robot Camera
Configure camera feeds displayed in the UI
Spatial Annotations
Define named waypoints and map markers that missions can reference
Related Documentation
- Configuration Overview — Introduction to configuration management
- InOrbit CLI — Apply, list, and manage configurations
- Expressions Language — Syntax for conditions and calculations