Show HN: PhAIL – Real-robot benchmark for AI models(phail.ai)
phail.ai
Show HN: PhAIL – Real-robot benchmark for AI models
https://phail.ai
11 コメント
This is absolutely awesome. Thanks for sharing! I would love to chat more with you. For context: we make a remote teleoperation solution for robotics. It's mostly used for mobile robots, but we've been getting a lot of inquiries regarding teleoperation for manipulation, so I've been learning more about this, in particular regarding the question of speed. I really appreciate these results!
Feel free to reach me out via hi at phail dot ai
This is amazing. Loved watching the videos with real-world attempts.
Finally a real benchmark vs polished teleoperated twitter videos. Shows the real state of a super important industry, and there’s a lot of work to do.
Finally a real benchmark vs polished teleoperated twitter videos. Shows the real state of a super important industry, and there’s a lot of work to do.
I'm a big fan of benchmarks and now finally we have one to evaluate models on physical tasks.
Will be interesting to see how fast this gap will narrow.
If I understand correctly, this is about benchmarking robot models. Do you have a robot to do the benchmarking or is it all simulation?
All real hardware, no simulation. Franka FR3 arm with a Robotiq gripper, physical totes, real objects. Every run is recorded with synced video and telemetry (you can watch any episode on the site).
That's the whole point – simulation benchmarks exist, but operators deploying robots care about real-world performance.
That's the whole point – simulation benchmarks exist, but operators deploying robots care about real-world performance.
I'm curious! What other models you're planning to add to the leaderboard?
We're working on adding DreamZero (NVIDIA's latest) next. The leaderboard is open to any model – both open-source and closed-source. If you have a checkpoint, we'll run it on the same hardware under the same blind protocol. Closed-source participants can submit their model as a container and we evaluate it without accessing the weights. Reach out at [email protected] if you want to submit.
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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