Instrument reading (Google DeepMind)
Gemini Robotics-ER 1.6 93% Fading Models read gauges, sight glasses, digital displays, linear scales, rulers and thermometers from robot camera images. ER 2 tests 10 instrument types.
Introduced with Gemini Robotics-ER 1.6 in 2026-04 with Boston Dynamics inspection use cases and generalized in the ER 2 post.
Made by Google DeepMind Released Apr 2026 Embodied reasoning Tasks kept private Last in a launch post Jul 2026 , dropped after it saturated
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
- Short answer A number, word or short string matched to a key.
2
Models scored in lab cards
2
Launch posts list it, from 1 lab
Gemini Robotics-ER 1.6 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.
- 1 Gemini Robotics-ER 1.6 93%
- 2 Gemini Robotics ER 2 65.7%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Gemini Robotics-ER 1.6 | 93% | Apr 2026 | Model card | |
| 2 | Gemini Robotics ER 2 | 65.7% | Jul 2026 | Model card |
The best score passed 85% in Apr 2026
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
Labs headline it less often now, last in Jul 2026
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 | 65.7 | Generalized instrument reading |
| 14 Apr 2026 | Gemini Robotics-ER 1.6 | 93 | Instrument Reading w/ agentic vision |
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% - Human proximity (Google DeepMind robotics) 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. Gemini Robotics ER 2 93%
- 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%