EmbodiedEvo: Self-improving Coding Agents for Physical Intelligence

Bringing general-purpose agents into the physical world calls for an executable representation of physical intelligence. Compared with vision-language-action (VLA) models, which map observations and language instructions directly to actions, code makes control logic explicit and reusable.

Aus dem Abstract. Unsere Zusammenfassung folgt.