The next leap in robotics won’t come from faster processors or more sophisticated mechanical design. It will come from better data, specifically, from training environments that replicate how the physical world actually behaves. [Read more…] about Why robotics can’t advance without physical AI
simulation environments
Google DeepMind releases new world model with ‘vast space’ to train robots and autonomous systems
Google DeepMind has unveiled Genie 3, the latest version of its generative world model, describing it as a step forward in creating more intelligent and adaptable simulation environments – including those for robotics applications.
Although the company’s announcement focuses heavily on advancements in video prediction and general AI learning, Genie 3 has direct relevance for robotics developers who rely on high-fidelity, physics-aware simulation systems to train and test autonomous systems.
Described as a “world model,” Genie 3 can generate realistic interactive environments directly from a single image prompt and a short textual description, such as “driving down a highway at sunset” or “walking in a rainy city”. [Read more…] about Google DeepMind releases new world model with ‘vast space’ to train robots and autonomous systems