AgiBot proposes 'Worken' to measure how much work robots really do

AgiBot, a Shanghai-based maker of humanoid and industrial robots, proposed a new way to measure the useful work that robots do in factories and public places, which it calls "Worken". The company presented the idea at its AGIBOT Innovation Day 2026 in Shanghai on Thursday, 29 October 2026, where it also launched AHA3, its third-generation humanoid hardware platform, the G2 Max industrial robot and an operating system called Link-U OS 1.0.

The robot industry has a measurement problem. Companies and investors usually talk about how many robots were sold or shipped. That number says little about whether the machines are useful once they are in a factory. A robot that sits idle, or needs a person to help it every few minutes, adds cost but little output.

Worken is AgiBot's attempt to change the question from "how many robots?" to "how much work did they do?". By counting only active robots, only the hours they work without human control, and how their output compares with a human benchmark, the metric tries to capture real productivity. For a factory owner deciding whether to buy robots, that is the number that matters, because it links the machine to cost per unit of output.

It is important to read this carefully. Worken is a proposal by one company, not an agreed industry standard, and AgiBot did not publish figures showing its own robots' Worken scores or how many units it has deployed. Other robot makers may not adopt it, and a metric designed by a seller can favour that seller's products. Still, the debate it opens is useful as humanoid robots move from demonstrations to paid work.

The announcement also shows how fast Chinese firms are pushing humanoid robots into commercial settings. For Indian manufacturers, which are investing in Industry 4.0, the use of connected machines, data and automation on the factory floor, the lesson is practical: when comparing automation offers, ask for evidence of hours worked and output achieved, not just specifications.

Short-term: The new products widen AgiBot's range for factories, logistics and public services. The Worken idea gives buyers a simple framework for asking suppliers about real-world performance.

Long-term: If customers and rivals start reporting productive hours rather than units sold, it could make the robot market more transparent and help businesses calculate returns on automation more accurately.

Who is affected: Manufacturers and logistics firms considering automation, including in India; robot makers and their investors; and workers whose tasks may be shared with or replaced by robots.

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