Robot Labor Registry

A structured framework for documenting recognizable forms of robot labor in ways that are comparable, readable, and publicly legible.

Purpose of the Registry

The Registry exists to improve how robot labor is recorded and described. Its purpose is not to dramatize machine work, nor to flatten every technical system into the same category. Instead, it provides a way to identify when a system performs labor-like functions within an institutional or operational setting and to document those functions with greater precision.

Reference taxonomy

This taxonomy provides a stable descriptive starting point and may continue to evolve through documented use.

Embodied Systems

Robotic systems performing operational tasks in physical environments.

Digital Agents

AI agents or structured software systems carrying out ongoing digital work.

Service Systems

Machine-mediated systems interacting with users, customers, or service environments.

Coordination Systems

Systems involved in routing, scheduling, dispatching, or multi-step operational coordination.

Decision-Support Systems

Systems that materially shape decisions, prioritization, or workflow outcomes.

Workflow Systems

Machine-mediated systems embedded in recurring administrative or process-driven work.

Example entries

Sample entries illustrate the descriptive structure intended for a future public-facing registry.

Service Navigation Unit

A public-facing physical system deployed in a high-traffic service environment to guide visitors, answer common questions, and route requests.

TypeEmbodied System
SectorPublic Service
Labor functionRouting and intake
OversightOn-site staff fallback

Workflow Triage Agent

A digital system that sorts incoming requests, assigns priority categories, and triggers defined follow-up steps inside a recurring administrative process.

TypeDigital Agent
SectorAdministration
Labor functionTriage and routing
OversightHuman review at escalation points

Registry growth will remain structured

Stable descriptive structure matters more than scale at the outset. Early versions emphasize taxonomy, entry logic, and documentation standards.