embodied-ai

Figure AI has revealed Helix 02, a unified neural network model that enables the Figure 03 robot to navigate and manipulate environments simultaneously, moving past the "walk-then-act" limitations of traditional humanoid systems.

Pittsburgh-based Skild AI has closed a massive funding round led by SoftBank and NVIDIA, cementing its lead in the race to develop a universal "omni-bodied" brain for robotics.

1X Technologies has transitioned its World Model from a simulation tool into a generative "cognitive core," allowing the NEO humanoid to perform novel tasks like steaming shirts or operating toilet seats by visualizing them first.

By fine-tuning its π0.6 foundation model, Physical Intelligence has demonstrated a wide array of "common sense" physical tasks—from making sandwiches to cleaning windows—proving that the path to general-purpose robotics lies in scaling physical data.

In a candid season finale of the Google DeepMind podcast, Demis Hassabis outlines why language models aren't enough for robotics and how the synergy between world-generators like Genie and agents like SIMA will bridge the gap to physical AI.