#Google DeepMind Releases Open X-Embodiment that Includes a Robotics Dataset with 1M+ Trajectories and a Generalist AI Model (𝗥𝗧-X) to Help

[vlruso]

Google DeepMind Releases Open X-Embodiment that Includes a Robotics Dataset with 1M Trajectories and a Generalist AI Model (𝗥𝗧-X) to Help Advance How Robots can Learn New Skills

📢 Exciting news in the world of robotics and AI! Google DeepMind has just released Open X-Embodiment, featuring a robotics dataset with over 1 million trajectories and a Generalist AI Model (RT-X). This groundbreaking development aims to advance how robots can learn new skills. The latest advancements in AI and machine learning have shown the effectiveness of large-scale learning from diverse datasets in developing AI systems. However, collecting comparable datasets for robotic interaction has always been challenging. But fear not, a team of researchers has come up with a solution: X-Embodiment training, inspired by pretrained models in vision and language. Curious to learn more? Check out the blog post here: [Link to Blog Post](https://ift.tt/qn8sSri) This exciting study explores the potential of combining pretrained models in robotics, similar to the success seen in NLP and computer vision. The Open X-Embodiment (OXE) Repository contains a dataset featuring 22 different robotic embodiments, over 500 skills, and 150,000 tasks across more than 1 million episodes. By training high-capacity model RT-X on this dataset, positive transfer and improved performance can be achieved across multiple robots and contexts. Stay updated with the latest developments in AI and robotics by following us on Twitter at [@itinaicom](https://twitter.com/itinaicom). And don't forget to check out the Colab, Paper, Project, and Reference Article for more information. Let's push the boundaries of robotics and AI together! 💪🤖 #AI #Robotics #MachineLearning #DeepMind List of Useful Links: AI Scrum Bot - ask about AI scrum and agile Our Telegram @itinai Twitter -  @itinaicom

[ai-news]

The latest advancements in the fields of Artificial Intelligence and Machine Learning have demonstrated the ability of large-scale learning from varied and vast datasets for developing extremely effective AI systems. The best examples are the creati #AI #ML #Automation