Gemini Robotics - A large-scale embodied intelligence model launched by Google DeepMind

What is Gemini Robotics?

Gemini Robotics is a robotics project launched by Google DeepMind based on Gemini 2.0, bringing the capabilities of large multimodal models to the physical world. The project comprises two main models: Gemini Robotics-ER and Gemini Robotics. Gemini Robotics-ER is an enhanced Visual-Language Model (VLM) with powerful embodied reasoning capabilities, supporting tasks such as understanding 3D space, object detection, pointing, trajectory prediction, and grasping prediction. Gemini Robotics is a Visual-Language-Motion (VLA) model that supports direct control of robots to complete complex maneuvers, exhibiting robustness to changes in object type and position, and executing open-vocabulary instructions. With further fine-tuning, Gemini Robotics can solve long-term, highly flexible tasks (such as origami or card playing) and quickly adapt to new tasks and robot forms.

Gemini Robotics' main functions

• Execution of complex tasks in intelligent dialogue and question answering:
  • Highly flexible tasksExamples include origami, playing cards, and using tools.
  • Long-term taskTasks involving multiple steps, such as packing lunch boxes or making sandwiches.
  • Precise operationExamples include using tweezers to pick up small objects or tighten bottle caps.
• Strong visual and language comprehension abilities:
  • Visual understandingIt can identify and locate objects in a scene, supporting multi-view understanding, 3D spatial reasoning, and object detection.
  • Language comprehension: Understand natural language instructions and perform open vocabulary tasks.
• Environmental adaptability and generalization ability:
  • Visual generalizationIt is robust to changes in background, lighting, and interfering objects in the scene.
  • Action generalization: Operations that adapt to changes in object position and different object instances.
  • Instruction generalization: Understand different ways of expressing instructions (such as different languages, instructions with spelling errors).

Gemini Robotics' technical principles

• Gemini 2.0 Basic ModelBased on Gemini 2.0 extensions. Gemini 2.0 provides Gemini Robotics with powerful vision and language understanding capabilities.
• Embodied reasoningGemini Robotics-ER is an extended version of Gemini Robotics, focusing on embodied reasoning capabilities. It supports understanding three-dimensional space, object relationships, and motion trajectories in the physical world.
• Visual-Language-Motion (VLA) Model:
  • Visual inputIt uses a camera to capture scene images and identify objects and the environment.
  • Language instructionsIt understands natural language instructions and translates them into specific robot actions.
  • Action outputGenerates motion commands for the robot to perform complex tasks.
• Data-driven training:
  • Robot motion dataBased on real robot operation data, it learns how to perform various tasks.
  • Non-robot dataIt provides rich background knowledge and generalization capabilities for online images, text, videos, etc.
• Architecture Design:
  • Cloud-based VLA backbone network: Responsible for handling complex visual and linguistic reasoning tasks.
  • Local Action DecoderRunning locally on the robot, it is responsible for generating motion commands in real time, ensuring low latency and high responsiveness.

Gemini Robotics' project address

• Project official website:https://deepmind.google/discover/blog/gemini-robotics
• Technical Papers:https://storage.googleapis.com/deepmind-media/gemini-robotics

Application scenarios of Gemini Robotics

• Industrial manufacturingUsed in complex assembly, quality inspection and repair to improve production efficiency and accuracy.
• Logistics warehousingTo automate cargo sorting, packaging, and loading/unloading, thereby improving logistics efficiency.
• Home servicesAssist with household chores, such as tidying, cleaning, and caring for the elderly or disabled.
• HealthcareIt assists in rehabilitation training and surgical procedures, and supports medical processes.
• Educational ResearchIt serves as an educational tool and research assistant, supporting teaching and experimental operations.