Sample position
This sample demonstrates an engineering organisation method for SLAM, localisation, path planning and navigation validation on an indoor mobile robot or research platform. It does not represent deployment at a named client site or on a specified robot model.
Input conditions
- Robot motion model, chassis interface, sensor types and time-synchronisation conditions;
- Operating area, map scale, obstacle characteristics and network conditions;
- Target task, permitted operator intervention and safety constraints;
- Compute platform, operating system, middleware and deployment versions.
Technical route
- Record sensor calibration, coordinate frames and data rates; inspect timestamps and dropped data;
- Establish reproducible data playback and simulation baselines;
- Integrate mapping, localisation, global planning and local obstacle-avoidance interfaces;
- Run repeatable tests on fixed routes and scenarios, retaining trajectories, logs, maps and abnormal events;
- Package runtime parameters, launch scripts, fault-recovery steps and version inventories.
Potential deliverables
- Sensor and coordinate-frame configuration;
- SLAM, localisation and navigation code or configuration;
- Maps, trajectories, logs and playback tools;
- Scenario-based test cases, issue records and deployment notes.
Validation boundary
Navigation behaviour depends on the chassis, sensors, scene dynamics, floor conditions and compute resources. Actual acceptance must define routes, repetitions, fault criteria and operator interventions. No autonomous-operation result is implied for an untested environment.