Before a humanoid robot ever walks among us, it learns in a world that doesn’t exist. In this episode of DevLand Diaries, we dive into the strange, powerful world of robot simulators—digital sandboxes where machines learn to walk, see, and think.
We explain why humanoid simulation is so brutally hard, which tools are shaping the future (like Isaac Sim, Gazebo, and MuJoCo), and what the “reality gap” means for robots entering our world.
No hype. No buzzwords. Just the raw truth behind the software teaching machines how to move—and maybe how to live.
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