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ShengShu unveils world action model to offer ‘infinite possibilities’ for robotic intelligence

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ShengShu Technology has unveiled Motubrain, a world action model that replaces multiple task-specific systems with a single, unified model that functions as a robotic brain for the physical world.

ShenShu describes Motubrain as one brain that offers infinite possibilities for robotic intelligence.

Ranking highly on both WorldArena and RoboTwin 2.0, two of the field’s most rigorous benchmarks in embodied world models, Motubrain marks a decisive shift in an industry where robotic systems are typically built from task-specific or specialized systems. [Read more…] about ShengShu unveils world action model to offer ‘infinite possibilities’ for robotic intelligence

Google DeepMind releases new world model with ‘vast space’ to train robots and autonomous systems

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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