Control
The fourth of the five computational layers; it takes a reference trajectory (from planning) and the current state estimate (from state estimation) and computes the commands (torques, currents, voltages, PWM duty cycles) needed to reduce the error between the desired and actual state. Control operates at a faster timescale than planning, typically 100 Hz to 1 kHz, to handle disturbances between planning updates.
Defined in 2 GAGE programs, which carry 6 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.
The fourth of the five computational layers; it takes a reference trajectory (from planning) and the current state estimate (from state estimation) and computes the commands (torques, currents, voltages, PWM duty cycles) needed to reduce the error between the desired and actual state. Control operates at a faster timescale than planning, typically 100 Hz to 1 kHz, to handle disturbances between planning updates.
The mechanism that prevents or detects, specified so it can be operated, tested and evidenced. Module 07 owns control design. Inside a policy architecture, a control's significance is that it must trace to a parent instrument.
Something an organization puts in place to keep a risk within tolerance or to satisfy an obligation. The fourth object in the chain, engineered in Module 07.
The verb that builds and operates the thing that changes the outcome. Finished when the thing exists, has a named owner, operates at a stated frequency, and leaves evidence behind without anyone remembering to create it.
Something an organization does to keep a risk within tolerance or to satisfy an obligation. The fourth object in the ten object chain, engineered in Module 07.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- How this program works, and setting up your workspace · Your First Week in Governance, Risk and Compliance, Certified Enterprise Governance, Risk and Compliance Professional (CEGP)
- The six verb operating cycle · Your First Week in Governance, Risk and Compliance, Certified Enterprise Governance, Risk and Compliance Professional (CEGP)
- GRC as an integrated operating capability · Integrated Governance, Risk and Compliance and Enterprise Context, Certified Enterprise Governance, Risk and Compliance Professional (CEGP)
- The GRC information model · Integrated Governance, Risk and Compliance and Enterprise Context, Certified Enterprise Governance, Risk and Compliance Professional (CEGP)
- Policy architecture and hierarchy · Policy, Standards, Procedures, and Exceptions, Certified Enterprise Governance, Risk and Compliance Professional (CEGP)
- The five layers: perception, state estimation, planning, control, actuation · What a Robot Actually Is, Foundations of Robotics and Physical AI
Where it shows up at work
A definition is where Control 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.
Measures whether governance works: inventory coverage, owners named, overdue reviews, incidents, approval times, not how busy the committee is.
One lesson on this page teach it as a primary outcome.
Runs stage gates, intake, decision logs and evidence repositories so a pilot cannot reach production without the required approvals.
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
- VP of AI Governance and Ethicsneeds working knowledge
- AI Governance Managerneeds working knowledge
- Data Governance Leadneeds working knowledge · 2 open postings this week
- Physical AI Safety Engineer, autonomous systems editionneeds working knowledge
- AI Program Managerneeds it at depth · 11 open postings this week
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.
Where the frameworks place it: ISO/IEC 42001 Clause 9; PMBOK.
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.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- Project and program management carries it as work you can show: Plans, RAID logs and status reports are your artifacts.
- A business, MBA or technology management degree carries it as a claim to back up: Program delivery is familiar in method.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.