What is the difference between Gemini Robotics 1.5 and ER 1.6?

Gemini Robotics 1.5 is a VLA model focused on turning visual info into motor commands, while Gemini Robotics-ER 1.6 is a reasoning-first model that handles high-level task planning and spatial logic.

Can Gemini Robotics work on hardware from different manufacturers?

Yes, it is designed for multiple embodiments, meaning it can control a variety of robots including static arms like Franka and humanoid robots like Apptronik's Apollo.

Is there an API available for developers?

Yes, Gemini Robotics models are available to developers through the Gemini API and Google AI Studio.

Does it require constant internet connectivity?

While the primary models run in the cloud via API, Google offers 'Gemini Robotics On-Device' which is optimized to run locally on robotic hardware for low-latency tasks.

How does the robot handle unexpected changes in its environment?

Because the model is 'thinking' and re-planning in real-time, it can adjust its trajectory or plan if a human interrupts it or an object is moved mid-task.

What kind of safety measures are included?

It integrates Google AI Principles, using semantic safety checks and specialized 'Safety Instruction Following' to ensure robots adhere to physical safety boundaries.

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Robotics

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Gemini Robotics

Multimodal Vision-Language-Action (VLA) models by Google DeepMind that enable robots to reason, adapt to new environments, and execute complex physical tasks via natural language commands.

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3 months ago

Listed

Robotics

VLA Models

Computer Vision

Embodied AI

Humanoid Robots

Machine Learning

Industrial Automation

Natural Language Processing

Spatial Reasoning

Tool information

Provider

Google DeepMind

Platforms

Google AI Studio

Vertex AI

On-device (Linux/RTOS)

API

Languages

English

Spanish

French

German

Japanese

Korean

Portuguese

Italian

Chinese

Dutch

API Available

Yes

Added to directory

3 months ago

Last updated

about 1 month ago

Rating

Not available

Pricing

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About Gemini Robotics

What the tool does and who it's for

Gemini Robotics is a suite of multimodal AI models developed by Google DeepMind specifically for physical agents. Built on the Gemini 2.0 and 3.0 architectures, these models bridge the gap between digital reasoning and physical action through Vision-Language-Action (VLA) capabilities. The system includes Gemini Robotics 1.5 for direct motor control, Gemini Robotics-ER 1.6 for advanced embodied reasoning and spatial logic, and an On-Device version for local execution. These models enable robots to understand natural language instructions, perceive complex 3D environments, and adapt to novel tasks—such as folding origami or reading industrial gauges—without specific prior training. It supports diverse embodiments, allowing the same 'brain' to control static robotic arms, quadrupeds like Boston Dynamics' Spot, and humanoid robots like Apptronik's Apollo.

Key capabilities

Vision-Language-Action (VLA) Integration: Directly maps visual and textual inputs to robotic motor commands.

Embodied Reasoning (ER): Specialized logic for spatial awareness, task planning, and success detection.

Zero-shot Generalization: Ability to perform novel tasks (e.g., rearranging a fridge) not seen during training.

Multi-view Understanding: Processes multiple camera streams simultaneously to navigate and manipulate objects.

Cross-Embodiment Training: A single model can be deployed across different hardware forms, from arms to humanoids.

Agentic Tool Use: Robots can call external tools like Google Search to solve information-based physical problems.

Safety Instruction Following: Adheres to strict physical safety constraints and semantic safety checks.

Instrument Reading: Advanced capability to read complex industrial gauges and sight glasses.

Pricing

Contact — plans below

Developer Access

Enterprise / Research

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Custom embodiment training
On-device model optimization
Advanced safety fine-tuning
Dedicated technical support

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