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1. news.mit.edu › 2024 › engineering-household-robotsEngineering household robots to have a little common sense

   news.mit.edu › 2024 › engineering-household-robots

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   Mar 25, 2024 · Mapping a robot’s physical coordinates, or an image of the robot state, to a natural language label is known as “grounding.” The team’s new algorithm is designed to learn a grounding “classifier,” meaning that it learns to automatically identify what semantic subtask a robot is in — for example, “reach” versus “scoop” — given its physical coordinates or an image view.

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3. www.allaboutai.com › ai-glossary › groundingWhat Is Grounding? - All About AI

   www.allaboutai.com › ai-glossary › grounding

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   Oct 11, 2024 · Grounding in AI is like teaching a robot to understand and use real-world things and ideas. Imagine you have a smart robot friend who lives in a world of computer games and puzzles. Grounding is like helping this robot learn about things outside its computer world, like apples, cars, or even feelings, so it can talk about them and understand ...

4. research.google › blog › towards-helpful-robots-groundingTowards Helpful Robots: Grounding Language in Robotic Affordances

   research.google › blog › towards-helpful-robots-grounding

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   Aug 16, 2022 · The results show that the system using PaLM with affordance grounding (PaLM-SayCan) chooses the correct sequence of skills 84% of the time and executes them successfully 74% of the time, reducing errors by 50% compared to FLAN and compared to PaLM without robotic grounding. This is particularly exciting because it represents the first time we ...

5. www.miquido.com › ai-glossary › groundingUnderstanding Grounding in AI - Miquido

   www.miquido.com › ai-glossary › grounding

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   Grounding in AI refers to the ability of an generative artificial intelligence system to connect its understanding and language generation to the real world or a shared knowledge base. It is a fundamental concept that ensures that AI can process and generate relevant language that makes sense in a specific context.

6. www.researchgate.net › publication › 314165056_It's(PDF) It's Not What You Do, It's How You Do It: Grounding ...

   www.researchgate.net › publication › 314165056_It's

   Mar 6, 2017 · grounding the robot’s uncertainty, can b e weighted more to-wards the former objective. Consequently, users may not. be aware how or to what degree a robot has misunderstood.

7. www.cambridge.org › core › journalsAction learning and grounding in simulated human–robot ...

   www.cambridge.org › core › journals

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   Thus, natural human–robot interactions also require robots to understand natural language, i.e. extract the meaning of words and phrases. To do this, words and phrases need to be linked to their corresponding percepts through grounding. Afterward, agents can learn the optimal micro-action patterns to reach the goal states of the desired tasks.

8. People also ask

   What is grounding a robot?

   • Grounding is like helping this robot learn about things outside its computer world, like apples, cars, or even feelings, so it can talk about them and understand them just like you do. It’s like building a bridge between the robot’s game world and the real world we live in.

   What Is Grounding? - All About AI

   www.allaboutai.com/ai-glossary/grounding/

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   What is grounding AI?

   • It is a fundamental concept that ensures that AI can process and generate relevant language that makes sense in a specific context. Grounding AI involves using methods and mechanisms that allow an AI to reference and understand concrete subjects, objects, and scenarios while engaging in conversation or decision-making processes.

   Understanding Grounding in AI | Miquido

   www.miquido.com/ai-glossary/grounding/

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   Why is grounding important in AI decision-making?

   • Exploring the necessity of grounding in AI decision-making, this section delves into how real-world integration enhances AI’s accuracy, reliability, and adaptability in diverse scenarios. Provides a reality check: Grounding ensures that AI decisions are not just theoretically sound but also practical and applicable in real-world scenarios.

   What Is Grounding? - All About AI

   www.allaboutai.com/ai-glossary/grounding/

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   What is the difference between grounded and non-grounded AI systems?

   • Difference Between Grounded and Non-Grounded AI Systems. Grounded AI systems are characterized by greater decision-making accuracy and reliability, deriving insights directly from real-world data. In contrast, non-grounded AI systems may falter in understanding and applying context, affecting their relevance and effectiveness.

   What Is Grounding? - All About AI

   www.allaboutai.com/ai-glossary/grounding/

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   Why do we need a grounding strategy for AI hallucinations?

   • The risks associated with AI hallucinations underscore the need for grounding AI in reliable, real-world data. These are the strategies that grounding employs to minimize AI hallucinations, enhancing the reliability of AI systems.

   What Is Grounding? - All About AI

   www.allaboutai.com/ai-glossary/grounding/

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   What are the benefits of a grounded AI system?

   • Improving Reliability and Relevance: Grounded AI systems are more reliable and relevant, as they are trained and tested on data reflecting real-world conditions and variances. Adaptability to Real-World Changes: Grounding allows AI systems to adapt and evolve with changing real-world scenarios, maintaining their effectiveness over time.

   What Is Grounding? - All About AI

   www.allaboutai.com/ai-glossary/grounding/

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9. blog.google › technology › aiSpeaking robot: Our new AI model translates vision and ...

   blog.google › technology › ai

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   Jul 28, 2023 · The pursuit of helpful robots has always been a herculean effort, because a robot capable of doing general tasks in the world needs to be able to handle complex, abstract tasks in highly variable environments — especially ones it's never seen before. Unlike chatbots, robots need “grounding” in the real world and their abilities.