VisualPro
The Humanoid Robot Industry Is Approaching Its 'Automotive Functional Safety Moment'
Robot Safety Analysis in the Era of ISO 10218:2025 & ISO 25785-1 — VisualPro FMEA · FTA · STPA
Product: VisualPro | For: Humanoid & Robot-Component Developers | Date: 2026-07-21
ISO 10218:2025ISO 25785-1FMEA · FTA · STPADynamic Stability · AI ControlMCP Integration
01A Tectonic Shift in Robot Safety Standards Has Begun (TL;DR)
ISO 10218, the foundation of industrial robot safety, has been fully revised after roughly eight years (ISO 10218-1/-2:2025), and a new standard targeting legged and humanoid robots — ISO 25785-1 — is under development at ISO TC299. The transformation the automotive industry went through fifteen years ago, when ISO 26262 turned functional safety analysis (FMEA, FTA) into a mandatory gate in the development process, is now repeating itself in the humanoid robot industry.
VisualPro brings its integrated FMEA·FTA·STPA·TARA analysis platform — proven in automotive functional safety and cybersecurity design — directly into the robotics domain. The companies that build their safety analysis framework and Safety Case before the standards are finalized will lead the certification race after they are.
The standards are being written right now, and the market will not wait for them — the companies that accumulate Safety Cases first win the certification race.
02Why Now — Three Shifts Reshaping Humanoid Safety
① A Major Overhaul of the Standards — ISO 10218:2025 and ISO 25785-1Standards
The 2025 revision of ISO 10218 introduces a Class I / Class II risk classification and, for the first time in the foundational industrial robot standard, includes cybersecurity requirements. Safety-related control functions must be demonstrated to levels harmonized with IEC 62061 (SIL) and ISO 13849-1 (PL). On top of that, ISO 25785-1 — covering robots with actively controlled stability — is being developed with leadership from humanoid pioneers.
② Humanoid-Specific Risks — Falling Over, and Safety Functions Inside a Neural NetworkNew Hazards
When power or control fails, a humanoid does not simply stop — it falls. A machine weighing tens of kilograms toppling next to a person is itself a new hazard class. When safety functions are embedded inside a neural network rather than a dedicated safety controller, traditional SIL/PL demonstration does not transfer cleanly — and humanoids operate not behind fences but in the middle of spaces where people work.
③ Getting Ahead of Regulation Means Getting Ahead of the MarketFirst Mover
Start compliance after the standards are finalized, and you end up retrofitting safety requirements into a frozen design — the redesign costs of the early ISO 26262 era are the proof. Hazard analyses and Safety Cases accumulated now become your certification evidence later, and a trust asset across the robot and component supply chain.
03Automotive Functional Safety vs. Humanoid Robot Safety — What Carries Over, What Changes?
Automotive functional safety and humanoid robot safety share the same analysis methods — what differs are the hazard definitions and reference standards.
| Aspect | Automotive (ISO 26262) | Humanoid Robots (ISO 10218:2025 · 25785-1) |
|---|
| Core standards | ISO 26262, ISO 21448 (SOTIF) | ISO 10218-1/-2:2025, ISO 13482, ISO 25785-1 (in development) |
| Risk classification | ASIL A–D | Class I/II plus SIL (IEC 62061) / PL (ISO 13849-1) |
| Domain hazards | Vehicle behavior caused by malfunction | Dynamic instability (falls), human-contact events, AI control uncertainty |
| Cybersecurity | ISO/SAE 21434 (separate standard) | Baseline requirements included in ISO 10218:2025 for the first time |
| Analysis methods | FMEA · FTA · HARA · STPA | Same methods apply — only hazard definitions extend to robotics |
The implication is clear: the analysis methods themselves have already matured in automotive. What is needed is to extend the framework to robotics-domain hazards (falls, grasp failures, human contact, AI misjudgment) — a matter of transferring proven tools, not inventing new ones.
04The Three-Layer Structure of Humanoid Safety Analysis — FMEA · FTA · STPA
Only by covering component failures (FMEA), event combinations (FTA), and interaction flaws (STPA) does the full risk picture of a humanoid become visible. The three methods complement rather than replace one another.
| Method | Role in the robotics domain |
|---|
FMEA
(Failure Mode and
Effects Analysis) | Analyzes how component-level failures — joint actuators, gear reducers, encoders, batteries — propagate to higher-level functions (walking, grasping, balance) through a hierarchical structure. Systematically derives failure causes using a noise-factor library (temperature, vibration, wear, etc.) |
FTA
(Fault Tree Analysis) | Starts from top events such as "robot topples over" or "unintended human contact" and quantitatively analyzes combinations of basic events. Used to quantify residual risk for Class II robots |
STPA
(System-Theoretic
Process Analysis) | Analyzes accidents that occur without any component failure — unsafe control actions by the AI controller, flawed sensor–controller–actuator interactions. The best-suited method for arguing the safety of neural-network-based control |
05How Does VisualPro Support Humanoid Safety Analysis?
A Single Database, a Digital ThreadDigital Thread
FMEA, FTA, STPA, and TARA are linked in one database. Structure (components) ↔ functions ↔ failures ↔ risks ↔ countermeasures are traced 1:1, synchronizing automatically on every design change. A single hazard like a fall is managed consistently as an FTA top event, an FMEA failure effect, and an STPA loss.
Noise-Factor-Library-Driven Failure DerivationProven Pilot
A library of stress factors (temperature, humidity, vibration, wear, EMI, and more) is cross-referenced against component functions to derive failure modes systematically. In an actual drivetrain motor DFMEA pilot, an AI agent used this library to derive 34 component-level failures, 54 noise-factor matches, and 25 causal-network links — entirely through conversation.
MCP-Based AI Agent IntegrationMCP
AI agents such as Claude communicate directly with VisualPro via MCP (Model Context Protocol) to perform FMEA, FTA, and STPA analysis. Analysts delegate derivation to the AI and focus on validation. The acceleration is greatest in new domains like robotics, where component counts are high and analysis history is shallow.
Automated Reporting in Korean and EnglishAutomation
Analysis results export as audit- and customer-ready reports in both languages — essential for global supply-chain obligations such as overseas certification and customer audits.
06Frequently Asked Questions (FAQ)
Q1Can a team with automotive FMEA experience transition to robot safety analysis?
Yes — it is the strongest possible starting point. The methodological backbone is identical: structure–function–failure hierarchy analysis, risk assessment, and countermeasure management. What changes are the hazard definitions (vehicle behavior → falls, contact, AI misjudgment) and the reference standards (ISO 26262 → ISO 10218 / 25785-1). VisualPro's analysis framework is designed for exactly this kind of domain extension.
Q2ISO 25785-1 is not finalized yet — what should we prepare now?
Prepare what the standard is certain to require. Hazard identification and risk assessment, definition of safety-related control functions, and a traceable Safety Case will be demanded no matter what the final text says. The FMEA, FTA, and STPA deliverables you accumulate now become your certification evidence, as-is, once the standard is published.
07Get Started Now (Next Step)
Humanoid robot safety standards are being written right now — and the market will not wait for them. Build your safety analysis framework ahead of the standards with VisualPro, backed by proven automotive functional safety expertise.
From component failures to AI control, on one digital thread — humanoid safety analysis with VisualPro.
VisualPro Adoption · Robot Safety Analysis
ISO 10218, the foundation of industrial robot safety, has been fully revised after roughly eight years (ISO 10218-1/-2:2025), and a new standard targeting legged and humanoid robots — ISO 25785-1 — is under development at ISO TC299. The transformation the automotive industry went through fifteen years ago, when ISO 26262 turned functional safety analysis (FMEA, FTA) into a mandatory gate in the development process, is now repeating itself in the humanoid robot industry.
VisualPro brings its integrated FMEA·FTA·STPA·TARA analysis platform — proven in automotive functional safety and cybersecurity design — directly into the robotics domain. The companies that build their safety analysis framework and Safety Case before the standards are finalized will lead the certification race after they are.
Automotive functional safety and humanoid robot safety share the same analysis methods — what differs are the hazard definitions and reference standards.
The implication is clear: the analysis methods themselves have already matured in automotive. What is needed is to extend the framework to robotics-domain hazards (falls, grasp failures, human contact, AI misjudgment) — a matter of transferring proven tools, not inventing new ones.
Only by covering component failures (FMEA), event combinations (FTA), and interaction flaws (STPA) does the full risk picture of a humanoid become visible. The three methods complement rather than replace one another.
(Failure Mode and
Effects Analysis)
(Fault Tree Analysis)
(System-Theoretic
Process Analysis)
Humanoid robot safety standards are being written right now — and the market will not wait for them. Build your safety analysis framework ahead of the standards with VisualPro, backed by proven automotive functional safety expertise.