Danijar Hafner, a former Google DeepMind researcher and the author of the Dreamer series of world-model algorithms, has founded a startup focused on adaptive AI agents. The company aims to apply world-model technology to physical robots. It has deployed several humanoid robots at its San Francisco office and is testing whether machines can learn control policies directly in real-world settings, avoiding the traditional sim-to-real bottleneck in simulation-based training. Hafner previously led the DayDreamer project, which showed that robots can build compact world models to imagine the results of actions and complete complex tasks autonomously without human-generated data.
Techub News, citing Crypto Briefing, reported that Danijar Hafner, a former Google DeepMind researcher and the author of the Dreamer series of world-model algorithms, has founded a startup focused on adaptive AI agents. The company is working to apply world-model technology to physical robots.
The startup has deployed several humanoid robots at its San Francisco office. It is testing whether the machines can learn control policies directly in real-world environments, bypassing the traditional “sim-to-real” bottleneck associated with simulation-based training.
Hafner previously led the DayDreamer project. The project showed that robots can build compact world models to imagine the results of actions and complete complex tasks autonomously without human-generated data.
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