REAL-WORLD VIDEO DATA INFRASTRUCTURE

Human activity,
model-ready.

We design real-world tasks, capture synchronized multimodal video, annotate every meaningful interaction, and deliver standardized datasets built for embodied AI.

First-person human activity data collection
RGB + DEPTH / EGO + MULTI-VIEW / ACTION TRAJECTORY
01 / END-TO-END WORKFLOW

From a real task
to training data.

Our pipeline turns naturally performed human work into consistent, searchable and model-ready datasets. Every project begins with the downstream learning objective and ends with documented, quality-controlled delivery.

01 / DESIGN

Scenario Design

Define environments, tasks, objects, edge cases and acceptance criteria around your model objective.

02 / CAPTURE

Video Collection

Record first-person and multi-view RGB/depth streams in natural, repeatable workflows.

03 / PROCESS

Synchronization

Align sensors, segment tasks, remove invalid clips and reconstruct motion trajectories.

04 / ANNOTATE

Annotation

Label actions, objects, states, intent, temporal boundaries and success or failure outcomes.

05 / DELIVER

Standard Dataset

Package versioned media, metadata, labels, schemas and quality reports for direct consumption.

02 / SCENARIO LIBRARY

Data from where
work happens.

We collect diverse human-object interactions across operational environments, capturing normal execution, variations, recovery behavior and long-tail cases.

Household organization video scenario
HOUSEHOLD / DAILY TASKS

Household Organization

Sorting, folding, cleaning, kitchen handling and multi-step object manipulation.

Factory assembly hand motion capture scenario
MANUFACTURING / ASSEMBLY

Factory Assembly

Parts picking, tool use, fastening, inspection and structured assembly procedures.

Warehouse logistics hand motion capture scenario
LOGISTICS / FULFILLMENT

Warehouse Logistics

Picking, packing, pallet handling, order fulfillment and exception recovery.

Retail shelf restocking scenario
RETAIL / RESTOCKING

Retail Restocking

Shelf replenishment, facing, inventory checks and category-specific placement.

03 / DATA SPECIFICATION

One dataset.
Every useful layer.

Choose existing scenario collections or commission a dataset built around your embodiment, task taxonomy and training stack.

Model-ready by design

VIDEO MODALITIESRGB · Depth · First-person · Multi-view
MOTIONCamera pose · Human trajectory · Hand/object tracks
ANNOTATIONSActions · Objects · States · Intent · Temporal segments
FORMATSJSON · COCO · Parquet · MP4 · Custom schema
QUALITYAutomated checks · Human review · Versioned reports
DELIVERYSecure cloud transfer · Incremental batches · Data card
04 / CAPTURE IN MOTION

See the data
being created.

Real demonstrations preserve the timing, coordination and environmental context that synthetic trajectories often miss. These examples show the multimodal capture stack developed within the GenRobot AI ecosystem.

EGO STREAM
FIRST-PERSON / NATURAL TASKS

HumanEgo Capture

Head-mounted RGB and motion streams preserve the operator's viewpoint and task intent.

BODY STREAM
WHOLE BODY / SPATIAL MOTION

Whole-Body Reconstruction

Body pose and movement context connect hand actions to navigation and workspace geometry.

HAND STREAM
DEXTEROUS / FINE-GRAINED

Finger-Level Motion

High-detail hand movement captures grasp transitions and object manipulation sequences.

TACTILE STREAM
CONTACT / MAGNETIC TACTILE

Interaction Signals

Contact-sensitive signals add physical interaction context beyond visual observation.

05 / ANNOTATION PIPELINE

Every frame
becomes structure.

Human review and automated tooling transform continuous video into task episodes, action phases, object states, trajectories and quality-scored training records.

Video dataset annotation interface
Multi-passANNOTATION REVIEW
Frame + TaskLABEL GRANULARITY
VersionedSCHEMA & RELEASES
TraceableQUALITY REPORTS
06 / DATASET CATALOG

Proven data
families.

Explore representative dataset families from the GenRobot AI ecosystem, then work with our team to evaluate samples, licensing scope and task-specific extensions.

Gen-HumanEgo first-person dataset
EGOCENTRIC / MULTIMODAL

Gen-HumanEgo

Natural first-person demonstrations for action understanding, manipulation and embodied learning.

RGBEGOACTIONTRAJECTORY
Gen-HumanWholeBody motion dataset
WHOLE-BODY / 3D MOTION

Gen-HumanWholeBody

Full-body activity with spatial movement, interaction context and synchronized visual streams.

POSE3DMULTI-VIEWPARQUET
RealOmin large-scale dataset
LARGE-SCALE / DIVERSE

RealOmin Collection

Diverse real-world task footage designed for scalable pretraining and evaluation programs.

VIDEOLONG-TAILJSONCOCO
07 / CAPTURE ECOSYSTEM

Purpose-built
data hardware.

GenRobot AI capture devices help synchronize egocentric vision, dexterous motion and physical interaction signals across repeatable field operations.

GenRobot AI egocentric capture deviceDAS EGO

First-person capture

Operator-view video for natural task demonstration.

GenRobot AI dexterous capture deviceDAS DEX

Dexterous motion

Detailed hand and finger behavior in object interaction.

GenRobot AI finger sensorDAS FINGER

Finger signals

Fine-grained movement and contact-aware collection.

GenRobot AI data controllerDAS CONTROLLER

Synchronized control

Unified acquisition workflows and sensor coordination.

08 / DATA PRODUCTS

Buy what your
pipeline needs.

Start from a sample pack, license a standardized collection, or commission exclusive task data. Scope, taxonomy and delivery cadence can be adapted to your program.

CATALOG / STANDARD

Ready Dataset

License standardized collections from recurring real-world scenarios.

  • Fast sample evaluation
  • Documented schema and data card
  • Commercial usage options
  • Periodic dataset releases
Browse with BD
PIPELINE / CONTINUOUS

Data Program

Build a continuous data engine for model iteration and evaluation.

  • Long-tail and failure mining
  • Dataset version management
  • Benchmark and evaluation sets
  • Ongoing quality analytics
Talk to an expert
09 / BUILT FOR CONSUMERS

Made for teams
shipping intelligence.

Standardized outputs reduce the engineering work between raw footage and model training, giving downstream teams a clearer path from data evaluation to scaled procurement.

Embodied Robotics

Manipulation, navigation and general-purpose robot foundation models.

Industrial Automation

Assembly, inspection, fulfillment and human workflow understanding.

AI Research Labs

Video understanding, world models and multimodal representation learning.

Simulation & Digital Twin

Behavior priors, asset interaction and scenario validation.

GenRobot AI
A GenRobot AI company

Operated by GenrobotAI (Shanghai) Robotics Technology Co., Ltd.(简智新创(上海)机器人科技有限公司), extending GenRobot AI's physical intelligence ecosystem with scenario-based video collection, annotation and standardized dataset delivery.

REQUEST DATA / GET A QUOTE

Tell us what
your model needs.

Share your target scenario, modalities and expected scale. Our BD team will respond with a relevant sample and an initial delivery plan.

BD@genrobotai.net.cn ↗

GenrobotAI (Shanghai) Robotics Technology Co., Ltd.(简智新创(上海)机器人科技有限公司)
GenRobot AI · Global Data Services

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