Solutions · Physical AI & Robotics
From prototype to a supported robot fleet, without building the plumbing.
Ship your ROS 2 and autonomy stack as one container image. Admiral builds the signed OS for your board, rolls releases out between shifts with automatic rollback, and keeps every robot reachable without inbound ports.
Autonomous robotics
Humanoid robot
Base OS memory footprint
Cold boot to running stack
Site visits for bad updates
The challenges
What Admiral solves for Autonomous Robotics.
A failed update cannot leave a robot in an aisle.
Pushing a perception or navigation build to robots working at customer sites carries real operational risk. If a release crashes or fails to boot, the robot has to recover on its own without a technician.
Your stack needs the whole machine, not a sandboxed container.
Motor controllers on serial, actuators on SocketCAN, depth cameras, LiDAR and CUDA all need direct kernel access and gigabytes per second of shared memory without bridge-network jitter.
Warehouse and field Wi-Fi drops constantly.
Mobile robots roam across access points and dead zones all shift. The robot must keep working offline, buffer its logs and metrics, and catch up when the link returns.
Capabilities
Purpose built.
Your ROS 2 stack runs unchanged.
Host networking for CycloneDDS and FastDDS multicast discovery, plus sized /dev/shm shared memory for zero-copy camera and LiDAR pipelines.
Direct pass-through to every bus and GPU.
Serial odometry, SocketCAN buses, V4L2 cameras, GPIO and NVIDIA Jetson Orin CUDA or Rockchip NPU drivers map straight into the workload.
Canary rollouts while robots are docked.
Gate releases by maintenance windows in each site's local time, test on one robot first, and roll back automatically if the new build fails its health check.
The difference
With and without Admiral.
Without Admiral
- Two engineers spend six months building and maintaining a custom Ubuntu image and OTA agent
- General-purpose Linux distributions consume over a gigabyte of RAM before your stack starts
- Docker bridge defaults break DDS multicast and force brittle discovery workarounds
- Hand-rolled update scripts leave robots stuck at customer sites when a build fails
- Compute boards slowly drift apart across hardware revisions and field fixes
With Admiral
- One Dockerfile builds a signed OS image for x86 and ARM boards, including Jetson Orin
- Under 10 s boot and ~100 MB OS footprint leave RAM and GPU for your models
- Zero-copy /dev/shm and host networking keep ROS 2 discovery and camera streams fast
- Canary rollouts run during charging or off-shift windows and pause on failure
- Dual-slot A/B updates revert on their own before a robot is stranded
- Open a workload shell from the console or CLI without opening inbound ports
Use cases
Where teams are using Admiral.
Autonomous mobile robots (AMRs)
Ship navigation, perception and fleet-adapter updates across warehouse and hospital robots with every unit running the exact same signed build.
Humanoids and mobile manipulators
Iterate on whole-body control and vision-language-action models daily, with instant rollback to the last working release if a build misbehaves.
Inspection cells and industrial arms
Run vision inspection and trajectory control on factory-floor cells with updates restricted to planned maintenance windows.
Get started
Let's talk about your fleet.
Start free with 5 devices or talk to our team to scope a production rollout.