Robot product development path · Gate 04
Turn controlled models into a reproducible physical prototype with a traceable bill of materials, assembly process, calibration and quality evidence.
Inputs
Released drawings, interface records and approved deviations
Controlled BOM with approved alternatives and supplier evidence
Assembly, firmware, calibration and inspection plans
Prototype risk controls, guarded workspace and authorised operators
Outputs
As-built configuration and serialised component record
Reproducible work instructions and inspection points
Calibration, commissioning and non-conformance records
Manufacturing-readiness review with open risks and cost range
Core work packages
Record part identity, revision, quantity, approved manufacturer, alternatives, lifecycle, lead time, unit cost and incoming inspection.
Reduce ambiguous orientation, inaccessible fasteners, cable damage, calibration drift and service steps that require undocumented skill.
Record serials, firmware, parameters, torques, calibration, deviations and rework so test evidence points to the actual machine.
Define critical characteristics, process capability, fixtures, end-of-line tests, traceability, packaging, transport and field service.
Gate review
Does every installed item match the approved BOM or an authorised deviation?
Are torque, firmware and calibration records attached to the exact unit?
Can hazardous energy be isolated during assembly, test and service?
Are critical characteristics measurable with capable equipment and clear sampling?
Has a build by a second team exposed hidden knowledge?
Primary source gateways
Sources checked 4 August 2026. FUURAA provides professional bilingual context and analysis; source owners control current versions, terms and scope.
Study how CAD, electronics, cabling, software and assembly records can be packaged around a research quadruped.
Explore open interfaces, industrial integration and community-supported robotics software.
Review supported robots, teleoperators, datasets, policies and real-world learning workflows.
This page can support
This page cannot replace