Story · arXiv
AndroidReality: How Far Are Mobile Agents from the Real World? (arXiv)
paper · Story page
AndroidReality injects realistic state, transition, and action perturbations into AndroidWorld to measure how far mobile agents fall from their clean-benchmark numbers. It finds substantial failure gaps and a training-free recovery step that helps in both settings.
In plain words
- Researchers tested phone-controlling artificial intelligence under messy conditions that resemble real phone use.
- They changed what appeared on screen, what happened after a tap, and whether the requested action worked correctly.
- Performance fell substantially compared with clean tests, revealing four recurring kinds of errors.
- A self-check step improved results in both messy and clean conditions without teaching the system further.
- Teams building phone-control systems now have a test for problems that clean test conditions may hide.
Appeared in
- In LangChain's benchmark, only 7% of agent turns needed a frontier model
Aug 12, 2026 · in the sections
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