Robotic Platforms
Specialized robotic systems designed for physical work across industrial, infrastructure and human-support environments.
AORO PRIME
ROBOTIC WORKFORCE INFRASTRUCTURE
Building the Physical AI Workforce for the Global Economy
AORO PRIME is building robotic workforce infrastructure for the physical economy — developing autonomous systems for industrial, logistics, security, care, response and defense-support environments.
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8 Robotic Platforms
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Prototype & Validation
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Campus Program
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Pilot Roadmap
Development-stage infrastructure
AORO PRIME is building the platform layer for robotic workforces.
The company is developing a unified robotics infrastructure model that combines specialized robotic platforms, shared autonomy architecture, Fleet OS, digital twins, campus-based validation and future pilot deployment pathways.
Fleet Operations Layer
A planned command layer for coordinating robots, operators, sites, telemetry, maintenance workflows and deployment intelligence.
Campus Validation Program
A planned environment for AI labs, humanoid prototyping, manufacturing validation, testing arenas and fleet operations.
AORO PRIME Robots
Eight platforms. One infrastructure thesis.
Each AORO PRIME platform is designed for a specific physical-work domain while sharing a common autonomy, perception, control and operations architecture. The result is not a single robot, but a scalable infrastructure model for robotic workforce deployment.
Specialized bodies. Shared intelligence. One operating layer.
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AORO Industrial
Manufacturing, logistics and infrastructure support.
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AORO Guard
Security, patrol and critical infrastructure protection.
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AORO Logistics
Autonomous movement of goods, materials and payloads.
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AORO Care
Human assistance for care and support environments.
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AORO Response
Disaster response, hazardous sites and search & rescue.
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AORO Defense
Defense-support, logistics and autonomous support.
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AORO Recon
Reconnaissance, terrain assessment and situational awareness.
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AORO Kids
Child-safe educational and developmental support robotics.
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AORO Industrial Humanoid
The industrial foundation of the AORO PRIME robotics platform.
AORO Industrial is being developed as a humanoid workforce platform for structured industrial environments — supporting future use cases in manufacturing assistance, material handling, inspection and infrastructure operations. It represents the first expression of AORO PRIME's broader thesis: physical AI systems designed around real work, shared architecture and deployment readiness.
Manufacturing SupportMaterial HandlingInfrastructure Operations
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Fleet OS Preview
AORO Fleet OS
The planned command layer for robotic workforce operations.
AORO Fleet OS is being developed to connect robots, operators, sites, telemetry, maintenance workflows and deployment intelligence into one operating layer for future pilot and commercial deployments.
View Fleet OSAORO Fleet OSPilot Command Layer
Program
Development Program
AORO PRIME is being structured around a phased development model: prototype validation, campus-based testing, Fleet OS integration, pilot deployment readiness and controlled commercialisation.
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Prototype & Validation
Robotic platforms are developed through staged prototyping, systems integration, safety review and controlled validation.
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Campus-Based Testing
The campus program is designed to support AI labs, manufacturing validation, simulation, testing arenas and operational readiness.
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Fleet OS Integration
Fleet OS is designed to connect robots, operators, sites, telemetry and maintenance workflows into one command environment.
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Pilot Deployment Roadmap
Future pilot deployment pathways are structured around controlled environments, partner sites and measurable operational learning.
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Phased Commercialisation
Commercialisation is planned as a staged transition from validated platforms to enterprise and infrastructure deployment models.
Engage AORO PRIME
Build your robotic workforce.
Request a briefing to discuss AORO PRIME's robotics platform roadmap, Fleet OS, campus program and future pilot deployment opportunities.