On November 11, 2026, NTT, Inc. announced a physics-based world model that evaluates candidate robot actions before execution to reduce failures such as dropped objects and collapsing loads, saying the technology raised task success in a small-robot shelf-loading test from 73.1% to 92.3%. The first envisioned application is automated loading and unloading of airport baggage. Variation in luggage shape, weight, and arrangement makes it difficult for conventional robot control alone to determine…