Physical AI Training Data: Multimodal Field Capture for Robot Learning
Robot-ready physical AI training data with the full multimodal stack — calibrated stereo depth, 16x16 tactile force, 200Hz IMU and 21-point hand pose, synced on one clock rather than mono RGB. Real human demonstrations, consented at the source and delivered LeRobot-ready.
What's in Our Physical AI Dataset
Every episode is one synchronized multimodal bundle — far beyond the mono-RGB video most corpora ship. Eight ground-truth layers on every episode.
Stereo Depth, Not Just RGB
Metric per-frame depth with intrinsics and extrinsics — real trajectories, not scale-ambiguous projections.
Dual Wrist Cameras
Left and right wrist views — the close-up a robot actually sees at execution time.
Tactile Force Arrays
16x16 taxels at 100Hz per finger — the contact signal simulation can't fake.
IMU at 200Hz
Head and both wrists — fast motion that 30Hz video aliases away.
21-Point Hand Pose
Per-frame keypoints, retargetable to grippers and dexterous hands.
Action Segments + Tracks
Human-verified verb-noun segments and persistent object tracks.
Why Capture-First, Not Scraped or Synthetic
Scraped web video is mono and scale-ambiguous. Synthetic can't fake contact, friction or slip. We capture first-hand on real floors, so depth, force and motion are measured, not inferred — and every episode carries consent and provenance you can audit. Three gaps every scraped or synthetic corpus leaves open:
We measure the physical signal, not infer it.
Metric depth + tactile + 200Hz IMU on one synced clock — the multimodal signal a policy needs, and the one mono RGB can't provide. Real human demonstrations, captured on real floors, consented at the source.
The 8 Ground-Truth Layers on Every Episode
Most capture is mono RGB from gig workers or lab teleop. Ours pairs stereo depth, dual wrist views, tactile and 200Hz IMU on one clock, across factories, workshops and specialty settings others can't reach.
Metric stereo depth on every frame
Calibrated per-frame depth with intrinsics and extrinsics — real, scale-accurate trajectories a policy can learn from, not the scale-ambiguous projections you get from scraped mono video.
Dual wrist camera views
Left and right wrist views give the close-up perspective a robot actually sees at execution time — the manipulation context that a single head-mounted RGB feed can't capture.
Tactile force at 16x16 taxels
16x16 taxel arrays at 100Hz per finger record grasp force, slip and contact — the signal simulation can't fake and scraped video never sees.
200Hz IMU on head and both wrists
High-rate inertial capture on the head and both wrists preserves the fast motion that 30Hz video aliases away — critical for contact-rich and dynamic tasks.
21-point hand pose keypoints
Per-frame 21-point hand keypoints, retargetable to parallel-jaw grippers and dexterous hands — so the same episode maps into your robot action space.
Action segments and object tracks
Human-verified verb-noun action segments and persistent object tracks label what happened and to what — grounded, language-conditioned supervision for VLA fine-tuning.
Consent and SHA256 provenance
Every episode carries a signed release, site agreement and SHA256 chain of custody — commercial-training-safe data you can audit, not a scraped corpus of unknown origin.
One synced clock across all layers
Depth, tactile, IMU, hand pose, action segments and tracks are all synchronized on a single clock, so cross-modal alignment is exact — no post-hoc guessing at timestamps.
AI Training Data Collection
Four capture programs across the physical-AI stack. Take one modality your policy needs, or combine them into a single synchronized dataset — captured first-hand and delivered LeRobot-ready.
World Model Training Data
Real video with metric depth and action labels for world foundation models — grounding for Cosmos- and Genie-style prediction.
Embodied AI & VLA Training Data
Human demonstrations for robot policies, ready to fine-tune OpenVLA, π0 or GR00T, with 21-point hand pose retargetable to your embodiment.
Tactile Manipulation Data
16x16 taxel force arrays at 100Hz for contact-rich manipulation — the modality simulation can't fake.
Robot Data Collection Services
Teleoperation and egocentric capture on real floors — the rig, trained crews and delivery pipeline behind every dataset.
Evaluating Data Sources for Your Policy Stack?
Send us the manipulation task. We'll map the capture and send a representative sample pack — the same modalities, calibration and delivery format you'd get in production, so your team can inspect sensor alignment before any commitment.
Book a Strategy Session →When You Need Custom Capture to Your Taxonomy, Not a Generic Corpus
Off-the-shelf robot corpora cover common pick-and-place well. But teams pushing real physical AI need capture that a scraped or synthetic dataset structurally can't deliver:
Send your task taxonomy and we scope a capture program against it — sites, objects, action set, episode counts and acceptance criteria — so the data you train on is your data, measured on real floors, not a generic corpus everyone else already has.
Frequently Asked Questions
Every episode is captured under a signed release and site agreement that permit commercial model training, with a per-episode chain of custody you can audit. Licensing is per-dataset and non-exclusive by default; exclusive and custom terms are available. We'll send the actual licence text before you commit.
Yes. Datasets ship LeRobot-ready and load with LeRobotDataset("neuralchainai/<dataset>"), and are available as RLDS/TFDS or ROS 2 / Foxglove MCAP on request — no conversion project before you can train.
Open X-Embodiment is robot trajectories; ours is human demonstration data with far richer sensing (metric depth, tactile, 200Hz IMU) and broader diversity. They're complements — most teams train on both and budget for the retargeting step between our hand pose and a robot action space.
Yes — it's the main reason teams come to us. Send your task taxonomy and we scope a capture program against it: sites, objects, action set, episode counts and acceptance criteria. Exclusive licensing on custom episodes is available.
Start with the sample pack — a small but fully representative delivery with all modalities and calibration, in LeRobot and MCAP form, so your team can inspect sensor alignment before any commitment. Request it on a strategy call.
Eight synced ground-truth layers — action segments, 21-point hand pose, object tracks, depth, tactile, IMU, consent and SHA256 provenance — arrive validated on one clock. Load a sample and evaluate it in an afternoon.
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Learn more →AI Transformation Workshop
Half-day strategy workshop to map your manipulation tasks and identify the right capture program for your policy stack.
Book a workshop →AI Strategy Session
30-minute scoping call. We'll talk through your task taxonomy, target model and delivery format, then scope a representative sample pack.
Book a session →AI Consultant vs In-House Team
Honest tradeoffs on standing up field capture in-house versus engaging a partner for a scoped, delivered capture program.
Read the comparison →See the Data Before You Decide
A 30-minute strategy call. We'll walk through your manipulation tasks, target model and delivery format — then scope a representative sample pack so your team can inspect sensor alignment and evaluate it in an afternoon.