--- id: "2026-04-14-gemini-robotics-er-1-6" url: "https://postcutoff.com/e/2026-04-14-gemini-robotics-er-1-6/" as_of: "2026-11-13T13:49:00+01:00" date: "2026-04-14" date_precision: day category: robotics importance: 2 confidence: high status: [Confirmed] sources: 4 editor: human editor human_review: null version: "2026-10-04" --- As of: 2026-11-13 13:49 CET. Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/ Canonical page: https://postcutoff.com/e/2026-04-14-gemini-robotics-er-1-6/ # Google DeepMind releases Gemini Robotics-ER 1.6 Full title: Google DeepMind releases Gemini Robotics-ER 1.6; Boston Dynamics' Spot uses it to read gauges On 2026-04-14 Google DeepMind released Gemini Robotics-ER 1.6 (gemini-robotics-er-1.6-preview), an embodied-reasoning model for robot perception, planning and success detection, in the Gemini API and AI Studio. Its new instrument-reading skill, built with Boston Dynamics for Spot's facility inspections, scored 86% (93% with agentic vision), up from 23% for ER 1.5 and 67% for Gemini 3 Flash. ## Key facts - Released 2026-04-14 in the Gemini API / Google AI Studio as gemini-robotics-er-1.6-preview (shut down 2026-08-31, replaced by ER 2) - Instrument reading (pressure gauges, thermometers, sight glasses, digital readouts): ER 1.5 23%, Gemini 3 Flash 67%, ER 1.6 86%, ER 1.6 + agentic vision 93% - Improved pointing, counting and multi-view success detection over ER 1.5 and Gemini 3 Flash - Deployed in Boston Dynamics Spot for autonomous industrial inspection rounds - DeepMind reports better adherence to physical safety constraints (e.g. gripper/material limits) ## What happened ER 1.6 is the "thinking" layer of the Gemini Robotics stack. It looks at camera feeds, points at and counts objects, plans steps and judges whether a task succeeded, then hands off to a VLA or to a robot's own controllers. The headline new skill, reading analog instruments, came from work with Boston Dynamics, whose Spot robots use it on inspection rounds. ## Why it matters It is a concrete, measurable commercial use of a frontier multimodal model inside a deployed robot fleet. ER 1.6 was superseded about four months later by Gemini Robotics-ER 2. ## Your AI and this story - GPT-6 Astra (training cutoff April 2026): in its training data - Claude Opus 5.5 (training cutoff June 2026): in its training data - Gemini 4 Hydrogen (training cutoff March 2026): 14 days after its cutoff - Grok 4.7 (training cutoff May 2026): in its training data ## Sources 1. [Google DeepMind: Gemini Robotics ER 1.6](https://deepmind.google/blog/gemini-robotics-er-1-6/) (deepmind.google, official) 2. [Google blog: Gemini Robotics ER-1.6](https://blog.google/innovation-and-ai/models-and-research/google-deepmind/gemini-robotics-er-1-6/) (blog.google, official) 3. [Gemini API deprecations (ER 1.6 dates)](https://ai.google.dev/gemini-api/docs/deprecations) (ai.google.dev, docs) 4. [SiliconANGLE: DeepMind launches Gemini Robotics-ER 1.6](https://siliconangle.com/2026/04/15/deepmind-launches-gemini-robotics-er-1-6-meet-precise-physical-ai-demands/) (siliconangle.com, press) ## Changes - 2026-09-29 (filed): Created ## Related - 2026-07-30: [Google DeepMind launches Gemini Robotics 2 family with whole-body humanoid control](https://postcutoff.com/e/2026-07-30-gemini-robotics-2/index.md) - Models: [Gemini Robotics-ER 1.5 / 1.6](https://postcutoff.com/m/gemini-robotics-er-1/) (`gemini-robotics-er-1`)