Progress classification (Google DeepMind)
Models assign each frame of a robot video to one of five task-progress bands from 0 to 100 percent. Scored by accuracy.
Reported in the Gemini Robotics ER 2 post.
Made by Google DeepMind Released Jul 2026 Embodied reasoning Tasks kept private Last in a launch post Jul 2026
Last model added Jul 2026
- Level
- Everyday Most adults, without training
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Multiple choice
1
Model scored in lab cards
1
Launch post lists it, from 1 lab
Gemini Robotics ER 2 leads with 57.4%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 57.4% | Jul 2026 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Reported by the lab in its model card
One lab put it in a launch post in the last six months
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 30 Jul 2026 | 57.4 | Progress classification (five bands) |
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