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the robotics middleware layer is about to have its kubernetes moment and almost nobody in physical AI twitter is paying attention. right now every robotics startup builds their own orchestration stack from scratch. task planning, error recovery, fleet management, sensor fusion, all custom, all fragile.View quoted post on X
it's like watching every SaaS company in 2010 build their own deployment infrastructure before AWS and kubernetes ate everything. the companies building the middleware between the robot's policy network and the actual hardware are solving the most boring and most important problem in physical AI.
standardized skill libraries that work across different robot morphologies. universal error handling that knows when to retry vs escalate vs call a human. fleet orchestration that can coordinate 50 robots in a warehouse without them crashing into each other.
there's maybe 5 startups working on this layer right now and they're all criminally underfunded because the demos don't go viral. meanwhile the infrastructure they're building makes every other robot work 10x more reliably. the VCs who figure this out early are going to look very smart in 3 years.
