Glossary

Teleoperation data

Teleoperation data means robot observations, state, and action traces recorded while a human remotely controls the robot. The term matters because it turns a model or procurement concept into concrete data requirements you can evaluate samples against.

Updated 2026-05-04

By truelabel

Reviewed by truelabel · May 4, 2026

teleoperation data definition

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Quick facts

DROID: 76,000 trajectories • 350 hours • 564 scenes • 86 tasks • Franka Panda arms (2024)
RoboSet: 28,500 trajectories (9,500 teleop, 19,000 kinesthetic) • kitchen activities • MIT license
ALOHA: $20k bimanual rig • 50 demos/task • 12–20s episodes at 50Hz • RSS 2023
What raw video isn't: Without synchronized state, action traces, and episode boundaries, footage is demonstration video — not teleoperation data.

Comparison

Question	Answer
Where it appears	Sourcing specs, QA requirements, dataset manifests, and buyer review notes
Why it matters	It turns abstract AI language into a supplier-verifiable requirement
Common failure	Using the term without defining modality, format, rights, or acceptance criteria

How to use this term in a spec

Teleoperation data is generated when a human controls a robot remotely and the system records what the robot observes and does. RoboSet's teleoperation documentation and ALOHA's bimanual data collection work show that the valuable artifact is not only video but synchronized robot state, actions, and task outcomes. ^[1] ^[2]

What to avoid

Do not use teleoperation data as a vague keyword. Define the data files, metadata, rights, QA checks, and delivery format that make it measurable.

Teleoperation data in buyer review

The strongest teleop sourcing request asks suppliers to deliver action traces, robot-state streams, camera feeds, success labels, and format metadata together. RT-1 and DROID both use real robot interaction data to train policies, which makes timestamp alignment and episode boundaries part of the buyer's acceptance criteria. ^[3] ^[4]

Teleoperation data supplier evidence

A sample should demonstrate that actions line up with observations and that failed or recovery episodes are not silently dropped. If a supplier can only provide video, the buyer should classify it as demonstration footage rather than teleoperation data.

Use these to move from category-level context into specific task, dataset, format, and comparison detail.

Physical AI glossaryGlossary hub Data provenanceDefinition and terminology Egocentric dataDefinition and terminology Off-the-shelf datasetDefinition and terminology Physical AI training dataDefinition and terminology Consent artifactDefinition and terminology Robot demonstrationsDefinition and terminology Sim-to-real gapDefinition and terminology

External references and source context

Dataset page
RoboSet documents 28,500 trajectories — 9,500 teleoperated and 19,000 from kinesthetic playback — across kitchen activities under MIT license.
robopen.github.io ↩
Teleoperation datasets are becoming the highest-intent physical AI content category
ALOHA is an open-source bimanual teleoperation setup at a $20k hardware budget collecting 12-20 second episodes at 50Hz, used to train ACT for fine manipulation.
tonyzhaozh.github.io ↩
RT-1: Robotics Transformer for Real-World Control at Scale
RT-1 trains a robotics transformer using large-scale real-world robot data across tasks.
arXiv ↩
Project site
DROID is 76,000 demonstration trajectories (350 hours) collected on Franka Panda arms across 564 scenes and 86 tasks by 50 collectors at 13 institutions over 12 months.
droid-dataset.github.io ↩

More glossary terms

Data provenanceTraceability metadata: source, consent, rights, capture conditions, chain of custody.Egocentric dataFirst-person camera footage capturing how a worker or operator sees a task.Off-the-shelf datasetAn existing public or commercial dataset bought without custom collection.Physical AI training dataData that teaches models to perceive, reason about, and act in physical environments.Consent artifactSigned documentation that contributors agreed to commercial use of their data.Robot demonstrationsRecorded successful task executions used as demonstrations for imitation learning.

FAQ

What is Teleoperation data?

Teleoperation data is robot observations, state, and action traces recorded while a human remotely controls the robot.

Why does it matter for physical AI?

It matters because physical AI data must be connected to actions, environments, metadata, rights, and model use, not just raw files.

How should buyers spec it in a sourcing request?

Request synchronized robot states, actions, video streams, success labels, and accepted delivery format.

Can suppliers validate this from samples?

Yes, if the buyer defines visible evidence, metadata requirements, and acceptance criteria before suppliers submit files.

Find datasets covering teleoperation data definition

Truelabel surfaces vetted datasets and capture partners working with teleoperation data definition. Send the modality, scale, and rights you need and we route you to the closest match.

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