Canonical event

SayCan connects language-model planning to executable robot skills

SayCan combined language-model high-level action proposals with learned affordance/value functions and demonstrated long-horizon natural-language tasks on a real mobile manipulator.

Artifacts

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
documented_by · paper_preprint

Signals

Language/generalist transformer models began to select and execute actions in embodied or interactive environments, materially strengthening an agent-like precursor without yet establishing persistent autonomous agents.
supported inference

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