Google DeepMind's Gemini Robotics 1.5: A Leap Towards 'Thinking' AI-Powered Robots
11 Sources
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Google DeepMind unveils its first "thinking" robotics AI
Generative AI systems that create text, images, audio, and even video are becoming commonplace. In the same way AI models output those data types, they can also be used to output robot actions. That's the foundation of Google DeepMind's Gemini Robotics project, which has announced a pair of new
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Google DeepMind's new AI models can search the web to help robots complete tasks
Google DeepMind says its upgraded AI models enable robots to complete more complex tasks -- and even tap into the web for help. During a press briefing, Google DeepMind's head of robotics, Carolina Parada, told reporters that the company's new AI models work in tandem to allow robots to "think
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Google DeepMind unveils new robotics AI model that can sort laundry
Google DeepMind has unveiled artificial intelligence models that further advance reasoning capabilities in robotics, enabling them to solve harder problems and complete more complicated real world tasks like sorting laundry and recycling rubbish. The company's new robotics models, called Gemini
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Gemini Robotics 1.5 brings AI agents into the physical world
We're powering an era of physical agents -- enabling robots to perceive, plan, think, use tools and act to better solve complex, multi-step tasks. Earlier this year, we made incredible progress bringing Gemini's multimodal understanding into the physical world, starting with the Gemini Robotics
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Google's Robots Can Now Think, Search the Web and Teach Themselves New Tricks - Decrypt
From packing suitcases to sorting trash, robots powered by Gemini-ER 1.5 showed early steps toward general-purpose intelligence. Google DeepMind rolled out two AI models this week that aim to make robots smarter than ever. Instead of focusing on following comments, the updated Gemini Robotics 1.5
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Google DeepMind adds agentic AI models to robots
'This is a foundational step toward building robots that can navigate the complexities of the physical world with intelligence and dexterity,' said DeepMind's Carolina Parada. Google DeepMind has revealed two new robotics AI models that add agentic capabilities such as multi-step processing to
[7]
Google's newest AI models make robots more intelligent and capable than ever before - SiliconANGLE
Google's newest AI models make robots more intelligent and capable than ever before Google LLC's DeepMind research unit today announced a major update to a couple of its artificial intelligence models, which are designed to make robots more intelligent. With the update, intelligent robots can now
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Google New AI Models Let a Robot Think Before It Acts
Gemini Robotics-ER 1.5 is capable of reasoning and acts as orchestrator Google DeepMind on Thursday unveiled two new artificial intelligence (AI) models in the Gemini Robotics family. Dubbed Gemini Robotics-ER 1.5 and Gemini Robotics 1.5, the two models work in tandem to power general-purpose
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Google DeepMind Unveils Gemini Robotics 1.5 And ER 1.5 To Help Robots Reason, Plan, And Learn Across Different Tasks
Robots have traditionally been preprogrammed machines that carry out strictly the instructions given to them. But it seems like that is about to change with the launch of Gemini Robotics 1.5 and Gemini Robotics-ER 1.5. Google DeepMind seems to be taking the leap and pushing for a new era by working
[10]
Google DeepMind unveils new AI models that use the web to aid robots (GOOG:NASDAQ)
Google DeepMind (NASDAQ:GOOG) (NASDAQ:GOOGL) unveiled two new artificial intelligence models on Thursday that the tech company says will allow robots to utilize the internet to perform certain tasks. The models, known as Gemini Robotics 1.5 and Gemini Robotics-ER 1.5, will allow the Gemini
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Gemini Robotics 1.5: DeepMind's step toward robots that think, plan & act like humans
Robots reason, strategize, and act safely with Gemini Robotics When robots learn to reason before moving, the line between artificial intelligence and human-like agency begins to blur. With the launch of Gemini Robotics 1.5, DeepMind is positioning its latest AI systems as a bridge between
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Google DeepMind unveils new AI models that enable robots to 'think' before acting, complete complex tasks, and use web searches for problem-solving. This advancement marks a significant step towards general-purpose robots with potential applications across various industries.
Google DeepMind's AI Breakthrough in Robotics
Google DeepMind has unveiled a pair of groundbreaking AI models that promise to revolutionize the field of robotics. The new models, Gemini Robotics 1.5 and Gemini Robotics-ER 1.5, work in tandem to create robots that can 'think' before acting, marking a significant leap towards general-purpose intelligent machines
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Source: Wccftech
The 'Thinking' and 'Doing' Models
Gemini Robotics-ER 1.5 serves as the 'brain' of the system, capable of simulated reasoning similar to modern text-based chatbots. This model processes requests, analyzes the physical environment, and generates natural language instructions for complex tasks
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.Gemini Robotics 1.5, on the other hand, is a vision-language-action (VLA) model that translates these instructions into physical actions. It uses visual input to guide its movements and goes through its own thinking process to approach each step
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.Advanced Capabilities and Real-World Applications
The new models enable robots to complete more complex, multi-step tasks that were previously challenging for machines. Examples include:
- Sorting laundry by color
- Packing a suitcase based on weather forecasts
- Sorting trash, compost, and recyclables according to local guidelines
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Source: DeepMind
Web Integration and Tool Usage
A key feature of the new system is its ability to use digital tools like Google Search to gather information for problem-solving. This allows robots to adapt to new situations and environments without requiring reprogramming
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Source: The Verge
Skill Transfer and Generalization
The Gemini Robotics 1.5 model introduces a technique called 'motion transfer,' allowing skills learned on one robot to be transferred to another with different physical configurations. This breakthrough could help solve a major bottleneck in AI robotics development by reducing the need for extensive training data for each robot type
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Industry Impact and Future Prospects
This development puts Google in the spotlight alongside other robotics innovators like Tesla, Figure AI, and Boston Dynamics. While success rates for complex tasks are currently between 20% to 40%, the potential for improvement is significant
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.Challenges and Limitations
Despite these advancements, several hurdles remain. The technology needs to become more dexterous, reliable, and safe before widespread deployment in human-interactive environments. Additionally, creating robots that can learn skills by watching human demonstrations is still a work in progress
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.As the race to integrate AI models into robots intensifies, Google DeepMind's latest innovations represent a significant step towards creating truly intelligent, general-purpose robots that could transform various industries, from healthcare to manufacturing.
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