Teleoperation
The mode of robotic operation in which a human operator directly controls the robot's actions in real time through a command interface. A teleoperated robot is still a robot by the three-part definition: its sense-compute-act loop runs continuously (the robot maintains stability, executes commanded motions, and responds to contact forces automatically) even though a human provides the high-level direction.
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.
The mode of robotic operation in which a human operator directly controls the robot's actions in real time through a command interface. A teleoperated robot is still a robot by the three-part definition: its sense-compute-act loop runs continuously (the robot maintains stability, executes commanded motions, and responds to contact forces automatically) even though a human provides the high-level direction.
The legitimate practice of a human operator directly controlling a robot's actions, often used for data collection or capability bridging during development. Disclosed and clearly labeled teleoperation is honest engineering practice; undisclosed teleoperation presented as autonomy is not.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- The definition of a robot: sensing, computation, and action in the physical world · What a Robot Actually Is, Foundations of Robotics and Physical AI
- Spot a dishonest robotics benchmark: the demo versus deployment gap · Research, Benchmarking, and Staying at the Frontier, Engineering Judgment and Professional Formation
Where it shows up at work
A definition is where Teleoperation 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.
2 lessons on this page teach it as a primary outcome.
Designs tests for factuality, robustness, fairness, safety and abuse resistance with rubrics, baselines and thresholds, and says what a score misses.
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
- Chief Technology Officer, AI engineering editionneeds it at depth
- Model Risk Managerneeds it at depth
- AI Evaluation Specialistneeds it at depth · 6 open postings this week
- AI Model Validatorneeds it at depth
- AI Product Manager, responsible product editionneeds it at depth · 3 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: NIST AI RMF MEASURE 1 and 2; NIST AI 600-1.
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.
- Model risk, credit risk and quantitative analysis carries it as work you can show: Test design and benchmark selection are the craft.
- A computer science or software engineering degree carries it as a claim to back up: Testing is second nature; AI evaluation design is a new shape of it.
- A data science, statistics or analytics degree carries it as a claim to back up: Evaluation design for a governance decision is a new frame for a known skill.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.