AGIBOT Worken proposes measuring robot productivity through effective work hours
The Worken framework combines the number of active robots, autonomous working time and an accepted-output ratio to measure how much useful work physical AI systems produce in practice.

AT A GLANCE
Key points
- Worken combines active robot count, autonomous working hours and output efficiency.
- The proposal considers acceptable production and human intervention, not only operating time.
- AGIBOT describes the framework as an evolving proposal to be refined with field data.
What is changing?
AGIBOT introduced a proposed framework called Worken at Innovation Day 2026 in Shanghai on October 29. Derived from “Work” and “Token,” the approach aims to measure how much useful work robots complete autonomously and consistently in real environments, rather than counting only how many robots are manufactured or deployed.
The company describes Worken as “Effective Intelligent Work Hours.” Its proposed calculation multiplies the number of active robots, autonomous working hours and an output-efficiency ratio. The last component compares acceptable production on a defined task with a reference benchmark. The metric therefore considers human intervention and the quality of completed work, not just powered-on time.
AGIBOT says this is not a finished standard but an evolving framework to be refined through field deployments and task-specific benchmarks. Until common task definitions and reference measurements exist, comparing different robot types or industries through a single Worken value could be misleading.
Explore the original sources
Source date: 29 October 2026.
Published by AI Radar: 29 Oct 2026, 13:59 (Istanbul, UTC+3).
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