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
Natural language query input
Step-by-step solutions (Pro)
Algorithmic computation engine
Curated knowledgebase across domains
Visual plots and graphics
Unit and measure conversions
Physics and chemistry problem solver
Statistical analysis tools
Money and finance computations
Date and time calculations
Personal health and nutrition data
Mobile app for iOS and Android
Wolfram Problem Generator
