Human proximity (Google DeepMind robotics)
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.
- Made by
- Google DeepMind
- Released
- July 2026
- Kind
- Embodied reasoning
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- Kept private
- Strongest model tested
- Claude Opus 5 #10 on the capability index
- Last in a launch post
- July 2026
- Last model added
- July 2026
- Scores refreshed
- November 12th, 2026
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.
Gemini Robotics ER 2 leads with 93% across all independent runs
Best score per model across the official leaderboard, Epoch AI’s own runs and any board Epoch AI copied. Each bar and row names its source.
Source: Labs’ model cards
- 1
Gemini Robotics ER 2 93%
- 2 GPT-5.6 Sol 83.4%
- 3 Claude Opus 5 77.1%
- 4
Gemini Robotics-ER 1.6 51.1%
Source: Official Human proximity (Google DeepMind robotics) leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 93% | Jul 2026 | Lab model card |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 93% | Jul 2026 | Official leaderboard | |
| 2 | GPT-5.6 Sol | 83.4% | Jul 2026 | Official leaderboard | |
| 3 | Claude Opus 5 | 77.1% | Jul 2026 | Official leaderboard | |
| 4 | | 51.1% | Apr 2026 | Official leaderboard |
The benchmark's own leaderboard has 4 models. Switch the scores above to rank them together.
Number one over time 3 models have held number one across all independent runs since its release in July 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official Human proximity (Google DeepMind robotics) leaderboard
Google DeepMind’s own number for Gemini Robotics ER 2 passed 85% in July 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official Human proximity (Google DeepMind robotics) leaderboard and labs’ model cards
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 |
|---|---|---|---|
| Jul 30, 2026 | 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 |
|---|---|---|---|---|
| Jul 29, 2026 | | 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 |
One lab claim next to the leaderboard
Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. 1 of them match, which usually means one side copied the other. Every benchmark.
| Model | Lab says | Board says | Gap |
|---|---|---|---|
| | 93% Human proximity (1m) | 93% Leaderboard | Same |
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%
- RoboDojo In use Generalist manipulation policies run 42 Isaac Sim tasks and 18 remote real-robot tasks. Scored by task score and success rate. GPT-6 Astra 29%
- RoboLab In use Zero-shot DROID Franka policies in Isaac Lab on 120 tabletop tasks at three instruction levels, 10 episodes each. Success rate. FLUX 3 Action 42.9%
- 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%
- 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%
- 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%