Defence and critical-infrastructure missions often run in environments where GPS cannot be trusted. Contested spectrum, dense urban canyons, tunnels, and electronic warfare all break the assumption of a clean global fix.
What breaks first
Many autonomy stacks are trained and demoed with strong localisation. In the field, the first failure mode is not “the AI is wrong” — it is that the robot no longer knows where it is relative to the mission map.
- Waypoint following collapses without a trusted absolute position.
- Cloud-dependent planning adds latency and a single point of failure.
- Imported stacks may hide localisation assumptions you cannot audit.
What a field-ready stack needs
GPS-denied ground systems need perception, odometry, mapping, and planning that degrade gracefully — with the option to operate without a continuous uplink.
- On-board perception — cameras, depth, and optional RF/IMU fusion owned in firmware and models you can retrain.
- Local planning — short-horizon control that does not wait on a remote cluster.
- Mission-first UX — operators need honest status when localisation confidence drops.
Ignarix position
We treat GPS-denied autonomy as a product requirement, not a lab demo. Robotic platforms, edge models, and the sovereign stack are designed together so know-how stays in India. See Systems and Approach.