Meta also introduced a new robotics simulation stack, HomeRobot, for Boston Dynamics’ Spot and Hello Robot’s Stretch, and a new database of 3D interiors, HSSD-200. These tools aim to improve the fidelity of the environments and allow researchers to focus on higher-level innovations. Both Habitat and HomeRobot are available under an MIT license, while HSSD-200 is under a Creative Commons non-commercial license.
Key takeaways:
- Meta and Nvidia are teaching AI models to interact with the real world through the use of simulated environments. This allows the AI to practice tasks hundreds or thousands of times in a short period, improving their ability to perform tasks.
- Nvidia has developed a system called EUREKA, which uses a large language model to write the reinforcement learning code that guides an AI in performing a task. This system has proven to be more effective than human coding in many instances.
- Meta has released a new version of its "Habitat" dataset, which includes nearly photorealistic and carefully annotated 3D environments for AI to navigate. The latest version, Habitat 3.0, allows for human avatars to share the space via VR, enabling the AI to learn to work with or around them.
- Meta has also introduced a new robotics simulation stack, HomeRobot, for Boston Dynamics’ Spot and Hello Robot’s Stretch. This standardizes some basic navigation and manipulation software, allowing researchers to focus on higher-level innovations.