The case for an omni-bodied robot brain

1. 20:28
   Skild AI — BlogSignal

   Building the general-purpose robotic brain

   Skild AI introduces their omni-bodied robotics foundation model, the Skild Brain, which is trained across diverse morphologies and data sources to enable generalization across tasks and hardware. The model uses a hierarchical architecture with low- and high-frequency policies, and is pre-trained using large-scale simulation and internet video data, with post-training on real-world data. This model represents a significant step toward creating a general-purpose robotic brain capable of operating on various robot types.

2. 20:28
   Skild AI — BlogSignal

   The case for an omni-bodied robot brain

   Skild AI presents a research paper detailing the development of an AI model trained across a vast array of robot bodies, enabling it to adapt to unpredictable scenarios without prior exposure. The model demonstrates zero-shot control and in-context learning, showing resilience in scenarios like limb loss, joint failure, and morphological changes. The work highlights the importance of adaptability in embodied AI for real-world applications.

3. 20:28
   Skild AI — Blog

   Learning from Human Videos for Robotics

   Skild AI proposes using human video data to overcome robotics' data bottleneck. By observing human actions, robots can learn new tasks with minimal direct interaction.

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