Yue Peng

Robot policies can now explicitly track and act upon physical time, unlocking robust performance in tasks requiring precise temporal reasoning and long-term memory.

The Robot Data Factory is introduced, a mission-driven infrastructure and methodology for continuously generating, validating, benchmarking, and reusing robot experience that reframes robot data generation as a continuous scientific production process and provides a pathway toward reproducible, scalable, and eventually federated infrastructure for Physical AI.

LLMs falter in maintaining coherent multi-turn interactions, with only 37.3% successfully completing five-turn episodes, revealing a major gap in generative UI capabilities.