Bimanual manipulation demonstrations
Proxy-tool human demonstrations across household, light-industrial, and outdoor tasks, with full action trajectories and segment-level annotations.
20-second web preview · Full 59.78-second record and QA package below
License action-labeled datasets or commission a custom collection program. Synergy delivers synchronized, quality-controlled data for VLA models, manipulation policies, and embodied world models.
Built for robot learning teams
Not all embodied data trains the same capability. We package each asset around the model behavior it can credibly support.
Proxy-tool human demonstrations across household, light-industrial, and outdoor tasks, with full action trajectories and segment-level annotations.
First-person activity capture with calibrated stereo video, whole-body and articulated hand tracking, plus frame-aligned English action descriptions.
Long-horizon human activity for task planning, scene understanding, video-language pretraining, and metric 3D reconstruction—not low-level robot control.
Representative specifications from sample assets. Final availability, volume, quality metrics, and license rights are confirmed during technical diligence.
This 59.91-second garment-handling record spans six clean bimanual action segments—buttoning, smoothing, folding, placing, lifting, and unfolding—with calibrated video, full hand coverage, and machine-readable QA.
Request the sample manifest ↗Standard operating procedures, versioned annotations, inspection records, and coverage design turn collection capacity into repeatable data production.
Each component is independently inspectable and linked by timestamps.
Define the tasks, objects, environments, capture format, and quality bar. We deliver QC-passed data against agreed acceptance criteria.
Scope a collection pilot ↗Translate model gaps into tasks, variations, sensors, and measurable acceptance criteria.
Validate the capture method, schema, annotation, and QC loop on a bounded first delivery.
Run parallel collection streams and deliver new, QC-passed episodes against your roadmap.
Collection methods
We will map the behavior to a dataset, evaluation slice, or custom collection program.
Request a technical consultation ↗