Provides continuous human whole-body manipulation demonstrations for robot policy training, including locomotion and coordinated two-hand actions. Motion is reconstructed from egocentric observations, with reported whole-body joint error of about 3 cm.
Evaluates whether shopping simulators reproduce real-user behavior across long interactive journeys, then checks whether simulated policy effects align with a production A/B test.
Simulates closed-loop interactions between people and wearable AI assistants to test whether multimodal models can guide real-world tasks. Its 120 multi-turn benchmark tasks are scored against verifiable simulator states.
Preserves a model conversation trace and raw token IDs for investigating unexpected link generation by a Qwen model. Includes a readable trace export and Parquet data to support reproduction.