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NRIPage | Articles | Google Introduces Gemini Robotics and Gemini Robotics ER: Advancing AI-Powered Robots | Get General Articles. Stay Informed on a World of Topics - NRI Page
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Google Introduces Gemini Robotics and Gemini Robotics ER: Advancing AI-Powered Robots

Google Introduces Gemini Robotics and Gemini Robotics ER: Advancing AI-Powered Robots

Google recently announced the launch of its latest AI models, Gemini Robotics and Gemini Robotics ER, designed to revolutionize the capabilities of robots by enabling them to function with human-like understanding and precision. Following the introduction of its first AI model, Gemini, in 2023, Google has continuously advanced its AI technology. The new models are aimed at transforming robots into intelligent and adaptable assistants capable of interacting with the physical world in meaningful ways.

Gemini Robotics is built on the powerful Gemini 2.0 model with the addition of physical actions as a new output capability. Unlike traditional AI models that focus on text, image, or speech outputs, Gemini Robotics introduces a system that enables robots to physically interact with their surroundings. The model excels in three critical areas that Google DeepMind believes are essential for developing effective robotic systems: generality, interactivity, and dexterity. Gemini Robotics has been designed to adapt to new tasks and changing environments, improving its flexibility across various real-world scenarios. Its ability to interact naturally with users through voice or text commands enables seamless collaboration. Gemini Robotics also demonstrates impressive dexterity, allowing it to perform delicate physical tasks such as folding paper, unscrewing bottle caps, or carefully handling fragile objects.
 

The model’s real strength lies in its continuous observation of its environment. Gemini Robotics monitors its surroundings, detecting changes in objects, obstacles, or instructions, and adapts its actions accordingly. This adaptable behavior, referred to as "steerability", allows for better control over robot assistants in homes, offices, and industrial environments. Since robots vary in design, Gemini Robotics is built to be versatile. Google initially trained the model using the ALOHA 2 bi-arm robotic platform. However, the model also demonstrated its ability to control robots equipped with Franka arms, which are widely used in academic research labs. This flexibility ensures Gemini Robotics can function across different robotic platforms and configurations.
 

Alongside Gemini Robotics, Google introduced Gemini Robotics ER, a more advanced model designed to improve spatial reasoning and enhance robotic integration. Gemini Robotics ER builds on Gemini 2.0’s foundation and expands its ability to detect and manipulate objects in 3D space. The model significantly enhances the robot’s spatial awareness, improving its ability to point, grasp, and navigate complex environments. Gemini Robotics ER is capable of generating entirely new functions through its coding capabilities. For instance, when shown a coffee mug, the model instinctively identifies the best way to grasp the handle using two fingers and then determines the safest path to approach and pick it up.
 

Gemini Robotics ER effectively handles the complete workflow required to control a robot, including perception, state estimation, spatial understanding, planning, and code generation. This all-in-one functionality makes Gemini Robotics ER a powerful tool for roboticists, enabling them to integrate the model into existing robotic control systems with minimal adjustments. The introduction of these advanced models reflects Google’s vision of building robots that demonstrate "embodied reasoning", a crucial concept in which AI systems gain the ability to interpret and respond to real-world conditions much like humans. Google’s goal is to enhance how robots comprehend their surroundings, adapt to dynamic environments, and effectively interact with users. This development is expected to play a key role in expanding the use of AI-powered robots in various sectors, including healthcare, manufacturing, logistics, and customer support.
 

To expand its AI vision beyond gaming and entertainment, Google has also launched Niantic Spatial Inc, a new independent entity that will focus on developing geospatial AI and extended reality (XR) applications. With $250 million in funding, Niantic Spatial Inc will utilize Google’s proprietary digital mapping and real-world AR technology to create AI-powered solutions for industries such as construction, logistics, and tourism. This move underscores Google’s ambition to lead the future of spatial computing by developing systems that help users better understand, navigate, and engage with their surroundings. With the introduction of Gemini Robotics and Gemini Robotics ER, Google is redefining what’s possible in the field of robotics. These models are poised to enhance automation by creating robots that can perform both simple and complex tasks with increased accuracy, flexibility, and human-like reasoning. By combining advanced vision-language models with real-time adaptive capabilities, Google’s latest innovation is expected to set a new benchmark for AI-powered robotics in everyday life and industrial applications. As Google continues to push the boundaries of AI technology, the potential for smarter, safer, and more intuitive robotic solutions is becoming increasingly promising.

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