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Why many embodied AI systems fail under load (architecture, not learning) (osf.io)
1 point by tysonjeffreys 32 days ago | hide | past | favorite | 1 comment


I wrote this as a conceptual architecture piece, not an empirical paper.

The core claim is that many failures in embodied AI and agent systems come from missing a baseline regulation layer beneath planning/learning — relying on correction alone leads to cascades under load.

I tried to keep it concrete with design patterns rather than metaphors. Curious how people here think about this relative to whole-body control, passivity, or active inference.




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