#Open-Vocabulary Approach to 3D Visual Grounding for Next-Gen Household Robots

[vlruso]

This AI Paper Proposes LLM-Grounder: A Zero-Shot Open-Vocabulary Approach to 3D Visual Grounding for Next-Gen Household Robots

📢 Exciting news! Check out this amazing AI paper proposing LLM-Grounder, a zero-shot, open-vocabulary approach to 3D visual grounding for next-gen household robots. 🤖🏠 LLM-Grounder combines the language understanding skills of large language models (LLMs) like ChatGPT and GPT-4 with visual grounding tools to overcome the limitations of current methods. It breaks down queries, interacts with the environment, and reasons with spatial and commonsense knowledge to ground language to objects. 🌐🔎 This breakthrough approach is perfect for addressing the challenges of 3D vision language problems and is highly suitable for robotics applications. 🧠💡 Learn more about LLM-Grounder in this detailed blog post: [Link to Blog Post](https://ift.tt/MebmlDf) 📝💻 Stay up-to-date with the latest AI research and projects by following MarkTechPost and Itinai on Twitter: [@itinaicom](https://twitter.com/itinaicom). 📲🚀 Don't miss out on this exciting advancement in AI for household robots! Read the blog post and share your thoughts. 🤗🌟 #AI #Robotics #VisualGrounding #LLMGrounder #NewResearch List of Useful Links: AI Scrum Bot - ask about AI scrum and agile Our Telegram @itinai Twitter -  @itinaicom

[ai-news]

Understanding their surroundings in three dimensions (3D vision) is essential for domestic robots to perform tasks like navigation, manipulation, and answering queries. At the same time, current methods can need help to deal with complicated languag #AI #ML #Automation