Robotics researcher: AI progress is cost-only, closed-loop control remains unsolved
GlenBerseth · x · 2026-09-16
Robotics researcher Glen Berseth argues recent embodied-AI progress is real but confined to one axis: cost.
- Foundation models make robotic tasks far cheaper and faster to set up, but performance itself hasn't broken through.
- Self-driving cars remain the clearest example: decades of effort, still hard, because they demand real-time closed-loop feedback rather than cheaper static perception plus planning.
- He points to Minsky's 1960s robot arm—vision-based geometry, path planning, assembly—noting today's foundation models are largely still solving the same class of problem, just much cheaper.
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