AORA Off-Road Autonomy

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 AORA.AUTO is the core autonomous driving platform developed by AORA to enable heavy vehicles to operate without a human driver in industrial environments. The system integrates vehicle control, perception, localisation, planning, and motion control into a single autonomy stack that can be deployed on trucks and other heavy equipment. AORA.AUTO connects directly to the vehicle’s drive-by-wire systems—controlling steering, throttle, braking, and transmission—while continuously interpreting the surrounding environment using onboard sensors and localisation systems to safely navigate along defined routes and operational zones. The platform manages vehicle behaviour across the full operating cycle, including route execution, interaction with infrastructure, and coordination with other autonomous assets within the fleet. Designed specifically for industrial applications, AORA.AUTO is built to operate reliably in controlled environments where vehicles repeatedly perform structured tasks such as material haulage, logistics movements, and site transport. By combining robust vehicle control with industrial-grade autonomy software, AORA.AUTO enables operators to deploy autonomous vehicles as part of an integrated operational system, improving safety, consistency, and productivity across heavy industry operations. 

   AORA.PILOT is an edge-deployed command and control application that provides operational oversight and management of the autonomous ecosystem powered by the AORA platform. Designed to run on industrial edge compute infrastructure, AORA.PILOT enables operators and supervisors to monitor, coordinate, and control autonomous vehicles and connected infrastructure in real time without relying on cloud connectivity. The system acts as the operational interface to AORA.AUTO vehicles and other autonomy services, providing capabilities for mission supervision, fleet monitoring, operational state management, and remote intervention when required. By running directly on the edge within the operational environment, AORA.PILOT ensures low-latency control, high reliability, and continued operation even in limited or disconnected network conditions. The platform provides a unified operational view of the autonomous system, allowing users to track vehicle status, manage tasks, issue commands, and maintain safe and efficient operations across an entire autonomous fleet and its supporting infrastructure. 

AORA.NAV is an infrastructure-based positioning and interaction system that enables industrial assets to communicate directly with autonomous vehicles operating on the AORA.AUTO platform. Installed on mobile or relocatable infrastructure, AORA.NAV continuously determines and broadcasts the asset’s precise geospatial position and orientation. When the infrastructure is moved, the system automatically updates its location within the autonomy platform and triggers AORA.AUTO to generate a new virtual interaction zone—such as a parking box, stopping location, or approach corridor—allowing autonomous vehicles to immediately understand where and how to interact. By turning infrastructure into an active participant in the autonomy ecosystem, AORA.NAV removes the need for manual map updates, reduces operational overhead, and enables autonomous operations to function reliably in environments where equipment and loading points frequently change position. 

 AORA.BRIDGE is the command centre platform for remote operations teams managing and optimising autonomous fleets operating on the AORA autonomy ecosystem. The system provides a centralized operational interface that aggregates data, telemetry, and operational status from autonomous vehicles, infrastructure nodes, and edge systems such as AORA.PILOT. From a remote operations centre, AORA.BRIDGE enables supervisors to monitor fleet performance in real time, oversee mission execution, manage operational workflows, and intervene when required. The platform delivers a live operational picture of the entire autonomous environment, including vehicle location, system health, task progress, and safety states, allowing operators to make informed decisions and maintain continuous oversight of autonomous operations. In addition to supervision, By connecting the remote operations centre with the autonomous edge environment, AORA.BRIDGE enables organisations to safely scale autonomous fleets while maintaining operational control, visibility, and continuous performance improvement.