Robot Learning

Skill Library

A skill library is a curated collection of reusable robot skills — learned policies, motion primitives, or parameterized controllers — each with defined inputs, preconditions, and effects, from which a planner or language model selects and sequences behaviors at run time. Systems like SayCan plan directly over such libraries, and lifelong learning research studies growing libraries autonomously by acquiring and naming new skills. Libraries trade end-to-end flexibility for modularity, verification, and reuse.

Why it matters for physical AI

Foundation model planners are only as capable as the skills they can invoke; a well-tested library turns open-ended language instructions into executable, auditable robot behavior.