Common-mode failure
A failure condition that simultaneously affects multiple identical redundant sensors or systems because it acts on a shared vulnerability. Examples include bright sunlight saturating all cameras on a platform, a glass wall causing all LiDAR units to report free space, or chassis vibration coupling into all accelerometers. Common-mode failures cannot be mitigated by adding more sensors of the same type; they require diversity in sensor operating principles to ensure at least one modality is unaffected by any single environmental condition.
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in Foundations of Robotics and Physical AI.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
A failure condition that simultaneously affects multiple identical redundant sensors or systems because it acts on a shared vulnerability. Examples include bright sunlight saturating all cameras on a platform, a glass wall causing all LiDAR units to report free space, or chassis vibration coupling into all accelerometers. Common-mode failures cannot be mitigated by adding more sensors of the same type; they require diversity in sensor operating principles to ensure at least one modality is unaffected by any single environmental condition.
A failure affecting multiple, nominally independent or redundant channels at once because they share an underlying vulnerability (a manufacturing batch, a power supply, a physical location exposed to the same hazard), making the redundancy less protective than it appears.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Why robotics is hard: the world is noisy, partial, and unforgiving · What a Robot Actually Is, Foundations of Robotics and Physical AI
- Mechanical, sensor, software, and human failure modes · Failure Analysis, Learning From How Robots Break, Engineering Judgment and Professional Formation
Where it shows up at work
A definition is where Common-mode failure starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Understands AI that acts in the physical world: perception stacks, vision language action models, sim to real transfer, sensor fusion, and where each of them fails.
One lesson on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- Robotics AI Engineer, embodied systems editionneeds it at depth
- Physical AI Safety Engineer, autonomous systems editionneeds working knowledge
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
One interview question about it
A perception model that scores well in simulation fails on the warehouse floor. Walk me through how you find out why.
Asked of candidates for embodied ai and robotics systems. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.