Show HN: PhAIL – Real-robot benchmark for AI models

I built this because I couldn’t find honest numbers on how well VLA models [1] actually work on commercial tasks.

I come from search ranking at Google where you measure everything, and in robotics nobody seemed to know.

PhAIL runs four models (OpenPI/pi0.5, GR00T, ACT, SmolVLA) on bin-to-bin order picking – one of the most common warehouse operations.

Same robot (Franka FR3), same objects, hundreds of blind runs.

The operator doesn’t know which model is running.

Best model: 64 UPH.

Human teleoperating the same robot: 330.

Human by hand: 1,300+.

Everything is public – every run with synced video and telemetry, the fine-tuning dataset, training scripts.

The leaderboard is open for submissions.

Happy to answer questions about methodology, the models, or what we observed. [1] Vision-Language-Action: https://en.wikipedia.org/wiki/Vision-language-action_model Comments URL: https://news.ycombinator.com/item?id=47589797 Points: 7 # Comments: 7

原文链接: HackerNews