License the micro-judgments of moving through a real space: what to pick up first, how hard to grip, when to set a load down, when a path is blocked, when a human is too close. Written traces with spatial context. Tesla Optimus, Figure, Agility, 1X, and Physical Intelligence cannot get this from YouTube alone.
POV capture protocol
Same rules EgoVista and JumpTask POV tasks use. Primacy adds abort judgment, instant usable-hour QA, and a graph bind.
Hands-free POV
Head or chest mount. Phone not in-hand. Start-to-finish at normal speed.
No faces
No faces, mirrors, plates, or screens with personal data. Blur before any video leaves the device.
Think-aloud track
Narration is a separate field. Licensed for model training only — no voice cloning or synthesis.
No MP4 here
This vault stores the episode card (LeRobot-shaped JSON). Pixel capture stays on your device until a license job completes.
Pay is shown before you start. Rejects are unpaid and deleted. Open Physical Capture · Footage licence
Shaped for Hugging Face LeRobot v3 and Open X-Embodiment RLDS language fields. No MP4 shards in this experimental vault — judgment traces, not EgoVista CV layers.
This venue is a Wing in your Human architecture. Every exercise creates Rooms organized by Hall type. Data quality is tracked via Knowledge Graph triples.
Meet all milestones to unlock buyer engagement. Hybrid threshold — both content volume AND time consistency required.
Entries
Active Days
Min Days
Synthetic motion looks smooth and still knocks the vase. Buyers pay for the ugly recoveries: wet floor, odd-shaped box, child in the path, ‘this looks sealed but isn’t.’
6–10 hours initial, then 40 min/week · 4 steps · Each step builds your architecture
Spatial decision traces (JSON: scene, objects, action, force, abort_rule)
When readiness is achieved, an AAAK-compressed summary of your data is generated for buyer evaluation — privacy-preserving, compact, and instantly readable by any AI system.
Embodied decision traces for home and factory humanoids.
General-purpose humanoids. Needs messy real-world physical judgment.
Digit in warehouses and last-mile. Pick-and-place judgment under time pressure.
Foundation models for robots. Buys diverse human physical traces.
Open the Data Builder to complete guided exercises. Each entry builds Rooms, Halls, and Knowledge Triples in your Human architecture — reaching buyer readiness in 30–60 days.