Robot product development path · Gate 03
Use simulation as a controlled evidence instrument: expose assumptions, inject failures, compare against reality and preserve reproducible results.
Inputs
Controlled requirements and architecture baseline
Calibrated robot, sensor, actuator and environment models
Nominal, edge, misuse and fault scenarios
Verification procedures, pass criteria and data-retention rules
Outputs
Versioned scenario and test catalogue
Requirement-linked test reports and reproducible artefacts
Model-correlation record and residual uncertainty
Approved issues, waivers and physical-test backlog
Core work packages
Cover nominal work, environmental variation, human interaction, sensor degradation, network loss, actuator faults and safe recovery.
Compare simulation with bench or prototype measurements for contact, timing, energy, sensors, control and failure behaviour.
Run a stable set of scenarios when code, models, parameters or components change; preserve seeds, environments and artefact versions.
Use hardware-in-the-loop, bench rigs and guarded prototypes for effects that simulation cannot establish with sufficient confidence.
Gate review
Is every result tied to exact code, model, scenario and parameter versions?
Which physical phenomena are intentionally simplified or absent?
Have rare hazards and recovery behaviour been exercised, not just average performance?
Does model correlation cover the target operating range?
Could an independent engineer reproduce the consequential results?
Primary source gateways
Sources checked 4 August 2026. FUURAA provides professional bilingual context and analysis; source owners control current versions, terms and scope.
Design simulation scenarios, sensor streams and control tests before physical builds.
Connect CAD or robot descriptions to simulation, sensor models, synthetic data and robot-learning workflows.
Understand how robot state and world geometry are represented and updated for motion planning.
This page can support
This page cannot replace