Production-Ready Robot Software

1. Production architecture review. We map your current system and design the target: clear component boundaries, hardware abstraction, an explicit data model for maps/calibrations/parameters, centralised error handling and recovery, and a runtime that degrades gracefully. You get a roadmap with milestones and effort per item, not a rewrite.
2. Embedded platform and middleware. We size and validate the production compute (CPU/RAM budgets measured with the real stack), port hot paths from Python to C++ where needed, and define the operating-system strategy: minimal Linux (Yocto-based) images, A/B partitioning for safe updates, real-time kernel where required, licensing and cybersecurity considerations. We benchmark and select the ROS 2 middleware and its configuration for your deployment (multi-container, real-time, low-bandwidth sites) so known weaknesses of ROS 2 never disturb the functional design.
3. Build, package, deploy. Reproducible builds, containerised or image-based runtime (Docker on Jetson/ARM), signed over-the-air updates with rollback, provisioning of a new robot in under an hour, and a factory acceptance test with two outcomes: "ships" or "rework".
4. Observability and automated testing. Structured logging, metrics, health aggregation and remote diagnostics so support engineers, not developers, handle the field. Unit → integration → simulation with fault injection → hardware-in-the-loop, wired into CI so each release is proven before it leaves the building.
5. Hand-over. Documentation, coding standards, review process, and time embedded with your team. We are done when you no longer need us.

The goal is software your team can deploy, update and support across a growing fleet - with the tests, documentation and tooling to carry it forward.