# Google DeepMind Launches Gemini Robotics ER 2 in Public Preview > New endpoints deliver spatial reasoning and multi-robot coordination while the prior version faces deprecation on August 31, 2026. *Published 2026-07-30 · By Marcus Vance* Gemini Robotics ER 2 is Google DeepMind's most capable embodied reasoning model for robotics that enhances spatial, temporal, and physical reasoning capabilities based on Gemini 3.5 Flash. On July 30, 2026, Google released two new embodied reasoning model endpoints for robotics applications through the Gemini API. The endpoints include gemini-robotics-er-2-preview which offers advanced spatial reasoning, agentic code execution, multi-step tool orchestration, video moment finding, progress classification, and multi-robot coordination. The second endpoint gemini-robotics-er-2-streaming-preview is optimized for real-time text streaming using the Live API with bidirectional audio and video input. ## What new endpoints support embodied reasoning in Gemini Robotics ER 2? The gemini-robotics-er-2-preview endpoint enables robots to perform complex reasoning over visual and textual data streams in physical environments. Developers can use the endpoint to build agents that execute multi-step tool calls while interpreting ongoing video input for task awareness. The streaming-preview variant reduces latency for applications that require immediate responses to audio and video inputs from robot sensors. Both endpoints extend the core Gemini model family into domains that demand physical world understanding beyond standard language processing. ## How does Gemini Robotics ER 2 enable multi-robot coordination? Gemini Robotics ER 2 supports multi-robot collaboration such as between the Apptronik Apollo 2 and the Franka F3 Duo platforms. The model allows separate robots to share a common understanding of spatial layouts and task states during joint operations. Coordination emerges from the model's ability to process synchronized video feeds from multiple sources and output synchronized action plans. This feature reduces the need for custom middleware when orchestrating heterogeneous robot fleets on shared tasks. ## What integration exists with Boston Dynamics Spot robot? A demo integrates Gemini Robotics ER 2 with Boston Dynamics Spot for object fetching via natural language commands. The Spot robot receives spoken instructions and uses the model to map commands to sequences of movements and grasping actions. Video input from the robot's cameras feeds directly into the model for real-time progress assessment during the fetch operation. The integration illustrates how natural language interfaces can control physical robots without intermediate programming layers. ## What performance metrics does Gemini Robotics ER 2 achieve on benchmarks? Gemini Robotics ER 2 achieves 57.4% accuracy on progress classification tasks that require assigning video frames to discrete progress levels. For moment-finding tasks the model reaches 91.3% accuracy with a mean absolute distance of 0.96 seconds while running at four times the execution speed of larger models. These results come at a fraction of the compute cost required by prior frontier models according to internal evaluations. - Assign video frames to 0-20% progress level - Assign video frames to 20-40% progress level - Assign video frames to 40-60% progress level - Assign video frames to 60-80% progress level - Assign video frames to 80-100% progress level ## What is the foundation of Gemini Robotics ER 2? Gemini Robotics ER 2 is based on Gemini 3.5 Flash as stated in the official model card. The model functions as a vision-language model that adds specialized layers for spatial and temporal reasoning over physical scenes. Continuous video feeds allow the system to maintain an internal state of task completion without requiring explicit state machines. > That’s why today we’re launching Gemini Robotics ER 2, our most capable “embodied reasoning” model for robotics.Google DeepMind ## What is the timeline for deprecation of the previous model? The gemini-robotics-er-1.6-preview model will be shut down on August 31, 2026 according to the Gemini API changelog. Developers must migrate existing applications to the new endpoints before the shutdown to avoid service interruption. The deprecation schedule provides a one-month window after the July 30, 2026 announcement for testing and transition. ## How does this release impact the robotics industry? The new capabilities in spatial reasoning and multi-robot coordination could accelerate deployment of collaborative robot teams in industrial settings. Platforms from Boston Dynamics, Apptronik, and Franka may see faster integration cycles when using the standardized Gemini endpoints. Stakeholders gain access to agentic code execution features that allow robots to generate and run their own control scripts based on observed scenes. ## What are the implications for developers using the Gemini API? Developers can access both preview endpoints immediately through the Gemini API documentation and changelog resources. The streaming variant enables construction of low-latency agents that maintain bidirectional communication with robot hardware. Migration from the deprecated endpoint requires updates to API calls but preserves core reasoning functions with improved performance. Key performance metrics for Gemini Robotics ER 2 compared with prior modelsMetricGemini Robotics ER 2Prior ModelsProgress Classification Accuracy57.4%LowerMoment Finding Accuracy91.3%LowerMean Absolute Distance0.96 secondsHigherExecution Speed4x baselineBaselineCompute CostFraction of larger modelsHigher ## Sources 1. [Gemini Robotics ER 2 achieves 57.4% accuracy on progress classification tasks and 91.3% accuracy with 0.96s mean absolute distance on moment-finding tasks at 4x execution speed.](https://blog.google/innovation-and-ai/models-and-research/google-deepmind/gemini-robotics-er-2/) 2. [Two new embodied reasoning model endpoints were released on July 30, 2026: gemini-robotics-er-2-preview and gemini-robotics-er-2-streaming-preview, with gemini-robotics-er-1.6-preview scheduled for shutdown on August 31, 2026.](https://ai.google.dev/gemini-api/docs/changelog) 3. [Gemini Robotics ER 2 is a Vision-Language-Model based on Gemini 3.5 Flash that enhances spatial, temporal, and physical reasoning capabilities.](https://deepmind.google/models/model-cards/gemini-robotics-er-2/) --- Source: https://aiintelreport.com/frontier-models/google-deepmind-gemini-robotics-er-2-preview Index: https://aiintelreport.com/llms.txt · Full text: https://aiintelreport.com/llms-full.txt