Development command interface
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Fleet Readiness
02
Mission Planning
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Site Operations
04
Digital Twin
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Operator Oversight
06
Maintenance Workflows
07
Deployment Reporting
08
Human Supervision
AORO PRIME / Command Software
AORO Fleet OS
Command software for robotic workforce operations.
AORO Fleet OS is being developed as the operating layer for future robotic workforce deployments. It is designed to connect robots, operators, sites, missions, telemetry and support workflows into one controlled command environment for enterprise, industrial and mission-critical use cases.
Fleet OS Preview
Planned command environment
Product Preview
A planned operating layer for robotic workforce infrastructure.
Fleet OS is designed to provide the command environment behind AORO PRIME robotic platforms, supporting planning, supervision, readiness, reporting and future site-level deployment workflows.
Command Layer
The command layer for physical AI operations.
As robotic workforces move from single machines to coordinated fleets, enterprises will need software that can plan, supervise, monitor and improve robotic operations across real-world environments. AORO Fleet OS is designed to become that operating layer, connecting hardware platforms, human operators, mission logic, site data and service workflows into one integrated system.
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Robots
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Fleet OS
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Operators
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Sites
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Reporting
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Support
Core Capabilities
Designed for planning, supervision and readiness.
01
Mission Planning
Plan robotic tasks, site objectives, operational constraints and supervision requirements before pilot deployment.
02
Fleet Supervision
Provide operators with a unified view of robotic systems, readiness state and site-level activity.
03
Remote Operator Oversight
Support human-supervised autonomy with visibility, intervention pathways and controlled deployment logic.
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Digital Twin Environments
Model sites, routes and workflows for simulation, operator preparation and validation.
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Predictive Maintenance
Review platform condition, alerts and readiness signals before reliability becomes a deployment risk.
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Incident Reporting
Capture events, decisions and operational activity for review, governance and continuous improvement.
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Operational Analytics
Turn pilot telemetry and workflow data into structured evidence for product and site planning.
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Deployment Readiness
Prepare pilot sites, operators, support teams and service workflows for phased commercial scale.
Digital Twin Platform
Digital twins for planning, simulation and operational learning.
The AORO Digital Twin concept is designed to support virtual replicas of sites, robots and deployment workflows. In future deployments, these environments can help teams simulate missions, evaluate site constraints, train operators, monitor operational behavior and improve planning before physical execution.
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Site mapping
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Mission simulation
03
Operator training
04
Deployment planning
Human-Supervised Autonomy
Autonomy with oversight, boundaries and accountability.
AORO Fleet OS should not be positioned as unsupervised automation. The platform is designed around human-supervised autonomy, with clear operator visibility, deployment boundaries, audit trails and escalation logic for high-trust environments.
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Human oversight
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Controlled autonomy
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Auditability
04
Safety workflows
Pilot Deployment Model
From prototype validation to controlled deployment.
A roadmap for validation and phased commercial readiness, not a claim of current live fleet operations.
Prototype Validation
Internal testing, simulation and command workflow validation.
Pilot Site Readiness
Site mapping, constraints, safety boundaries and operating procedures.
Operator Training
Supervision, escalation and human-machine collaboration workflows.
Controlled Deployment
Measured pilot programs with defined objectives and oversight.
Operational Review
Structured learning from field activity, support events and outcomes.
Phased Commercialisation
Responsible expansion from validated pilots toward enterprise programs.
AORO Fleet OS
Build the operating layer for robotic workforces.
AORO Fleet OS is being developed to support the next generation of physical AI operations. For investors, partners and pilot deployment stakeholders, it represents the software foundation behind the AORO PRIME robotics ecosystem.