Project AURIONAI Use-Cases Research & Innovation
multimodal LLM

Gemini Robotics-ER 1.6

Embodied reasoning VLM with instrument reading and multi-view, used for Spot inspection with Boston Dynamics.

Google DeepMindGoogle DeepMindUK / USABoston DynamicsBoston DynamicsGemini RoboticsFamily
Google DeepMind
Levelmodel
Classmultimodal LLM
Parametersnot in the notes
Contextnot in the notes
Released14 Apr 2026
Opennessproprietary
Runs onnot in the notes
Statusactive

Lineage

finetunesuccessor
Gemini 3.5 Flash to Gemini Robotics-ER 2: finetune, medium confidenceGemini Robotics-ER 1.5 to Gemini Robotics-ER 1.6: successor, high confidenceGemini Robotics-ER 1.6 to Gemini Robotics-ER 2: successor, low confidenceGemini Robotics-ER to Gemini Robotics-ER 1.5: successor, medium confidenceGemini Robotics-ERGemini Robotics-ERGoogle DeepMind, Mar 2025Gemini Robotics-ER 1.5Gemini Robotics-ER 1.5Google DeepMind, Sep 2025Gemini Robotics-ER 1.6Gemini Robotics-ER 1.6Google DeepMind, Apr 2026Gemini 3.5 FlashGemini 3.5 FlashGoogle DeepMind, May 2026Gemini Robotics-ER 2Gemini Robotics-ER 2Google DeepMind, Jul 2026
Google DeepMindGemini Robotics-ER 1.5 is the parent (successor)high confidencenotes
Google DeepMindGemini Robotics-ER 2 is a child (successor)low confidencenotes
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 5 models. Confidence and evidence are the notes' own.

Industry Use Cases

Industrial
Robot inspection with instrument reading

R&D Topics

Visual instruction tuningproduced byWorld models (self-supervised video, robotics)used by

Identity

Developer
Google DeepMind, Boston Dynamics
Family
Gemini Robotics
Released
14 Apr 2026 sourcessecondary report
Weights published
–
Record checked
10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
not in the notes
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
image, text
Output
text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
proprietary
Licence
Proprietary sources
Access routes
API
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Sources

  1. aiwiki.ai/wiki/gemini_robotics_2 https://aiwiki.ai/wiki/gemini_robotics_2

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Gemini Robotics-ER 1.6", https://aurion.semai.id/models/google-deepmind-gemini-robotics-er-1-6/, records of October 2026.