Features
Eight aligned modalities per episode (tactile, RGB, depth, hand pose, IMU, wrist cams, labels, success/failure)
High-rate tactile pressure proxies with per-channel calibration
Egocentric first-person video with stable exposure
Per-frame depth aligned to ego timebase
Articulated hand pose and grasp phase tracking
Motion and IMU dynamics (linear acceleration, angular rates)
Task and subtask boundary labels with contact phases and QC flags
Optional frame-aligned text narration for richer supervision
Binary or graded success/failure outcome tags
Model-ready packaging with QC metrics and assumptions
Representative household task families (dishwashing, laundry, vacuuming, beverage prep)
Documented calibration boundaries and drift handling
Wearable + egocentric capture rigs with unified clock sync
Wrist and scene cameras for occlusion recovery (program-dependent)
Turnkey data collection stack: capture, sync, calibrate, package
Personalized AI curriculum adapting in real time
Comprehensive subject library with syllabi
Instant AI explanations backed by psychological insights
Real-time understanding feedback
Experience projects for practical application
Thought exercises connecting multiple topics
Learn Place Assistant interactive guide (June 2025)
Help deciding what to learn next
Daily email mini lessons (optional)
Generous question allowance (Premium)
Full access to experience projects (Premium)
Full access to thought exercises (Premium)
Comprehensive topic coverage (Premium)
