Google Deepmind Unveils Ai System For Training Robots Across Multiple Tasks And Environments For Enhanced Efficiency

Open-X Embodiment is a project developed by Google DeepMind and 33 other research institutions that seeks to revolutionize the process of training machine learning models for robots, tasks, and environments. The project introduces a dataset comprising multi-robot data, alongside a suite of models that can transfer skills across an array of tasks. At the core of the Open X-Embodiment project is the idea that a generalized model, built leveraging data from a plethora of robots and tasks, can significantly outperform specialized models. Models RT-1-X and RT-2-X, based on the Robotic Transformer architecture, have been developed to facilitate this.