Benchmark Almanac

Human proximity (Google DeepMind robotics)

Gemini Robotics ER 2 93% leads since July 2026
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.

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
1
Model scored in lab cards
1
Launch post lists it, from 1 lab
1
System card reports it, from 1 lab

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.

  1. 1 Gemini Robotics ER 2 93%

Source: Labs’ model cards

Source: Official Human proximity (Google DeepMind robotics) leaderboard

#ModelScoreSettingDateSource
1 Gemini Robotics ER 2 93% Jul 2026 Lab model card
#ModelScoreSettingDateSource
1 Gemini Robotics ER 2 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 Gemini Robotics-ER 1.6 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.

Google DeepMind OpenAI
Own leaderboard Passed 85% in Jul 2026, by Gemini Robotics ER 2

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.

On the benchmark’s own leaderboard Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Gemini Robotics ER 2 GPT-5.6 Sol Gemini Robotics-ER 1.6 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Gemini Robotics ER 2 GPT-5.6 Sol

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.

Google DeepMind
DateLaunch postScoreAs the post writes it
Jul 30, 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.

DateDocumentScoreAs the document writes itSection
Jul 29, 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

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
Gemini Robotics ER 2 93% Human proximity (1m) 93% Leaderboard Same

More in Robotics

All 103 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%