Below you will find pages that utilize the taxonomy term “Machine Learning”
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Vision-Language-Action Models Are Rewriting the Rules of What a Robot Can Do
The architecture of robot software has changed more in the past two years than in the previous two decades. The transition from task-specific modular systems to unified foundation models is not incremental improvement. It is a different approach to what a robot fundamentally is.
The GAO’s 2026 S&T report documents this shift with precision. The previous generation of robot software divided cognition into pipeline stages: a perception module processed sensor input, a planning module generated action sequences, an actuation module executed them.