Human proximity (Google DeepMind robotics)
Gemini Robotics ER 2 93% In use Models judge from robot camera views whether a human is within 1 meter, a spatial awareness check for safe robot behavior. Scored by accuracy.
Reported in the Gemini Robotics ER 2 post. Method details are in the Gemini Robotics 2 Safety Technical Report.
- 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
- Short answer A number, word or short string matched to a key.
Gemini Robotics ER 2 leads with 93%
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 | Gemini Robotics ER 2 | 93% | Jul 2026 | Model card |
The best score passed 85% in Jul 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
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 | Gemini Robotics ER 2 | 93 | Human proximity (1m) |
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 29 Jul 2026 | Gemini Robotics ER 2 technical report | 93 | Human Safety Monitoring: Accuracy at 1m (Single Frame), MAE 0.36 m (Fig. 5). Lab humanoid test: 99% human detection accuracy (2.2) | Safety |
More in Robotics
- ERQA In use 400 multiple-choice visual questions from robot and egocentric footage on spatial, trajectory, action and state reasoning. Accuracy. Gemini Robotics ER 2 78.5%
- RoboLab In use Zero-shot DROID Franka policies in Isaac Lab on 120 tabletop tasks at three instruction levels, 10 episodes each. Success rate.
GR00T N1.7 8.58% - Moment finding (Google DeepMind) In use Models find the moment in a robot video when an event happens. Scored by accuracy and mean absolute time distance in seconds. Gemini Robotics ER 2 91.3%
- Progress classification (Google DeepMind) In use Models assign each frame of a robot video to one of five task-progress bands from 0 to 100 percent. Scored by accuracy. Gemini Robotics ER 2 57.4%
- LIBERO Fading Simulated Franka tabletop tasks in four 10-task suites. Policies fine-tuned on 50 demos per task. Success rate over ~50 trials.
MolmoAct 2 97.2% - RoboCasa GR1 Tabletop Tasks Fading A simulated Fourier GR-1 humanoid with dexterous hands does 24 tabletop pick-and-place tasks, including unseen object and container pairs. Success rate per task. GR00T N1 50%