# Agibot introduces Worken framework to measure robot productivity in real-world tasks

Digest AI · Robotics & Physical AI · published 2026-10-29T10:05:02Z

Canonical: https://digestai.news/story/agibot-introduces-worken-framework-to-measure-robot-productivity-in-re

## Summary

AGIBOT unveiled **Worken**, a proposed framework for quantifying how much useful work robots perform in real-world environments at its **Innovation Day 2026** in Shanghai on October 29, 2026. The framework calculates **Effective Intelligent Work Hours** by multiplying active robots, autonomous working hours, and an output efficiency ratio compared to human benchmarks. Peng Zhihui, AGIBOT’s co-founder and CTO, framed it as a response to the industry’s need to shift focus from robot production to measuring autonomous, task-specific productivity in factories, warehouses, and service settings.

Worken aims to help businesses evaluate the long-term value of robot deployments by weighing output against lifecycle costs. AGIBOT also released its **AHA3 hardware platform**, **GO-3 Preview embodied model** (ranked first on RoboDojo and RoboTwin), **WITA-Omni interaction model**, the **G2 Max industrial robot** (with a 40 kg dual-arm capacity), and **Link-U OS 1.0**, an operating system for embodied intelligence. The company announced plans to open-source Link-U OS by year-end and collaborate with the **OpenAtom Foundation** to standardize humanoid robotics. Deployments in manufacturing (e.g., Longcheer’s tablet production) and services (e.g., Guangzhou Metro) were highlighted as case studies for Worken’s application.

## Key points

- Worken framework multiplies active robots, autonomous hours, and task-specific output efficiency to measure real-world productivity
- AGIBOT’s GO-3 Preview model ranked first on RoboDojo, RoboTwin, and RoboColiseum benchmarks
- Link-U OS 1.0 is now trialed by partners, with full open-source release planned by year-end 2026

## Why it matters

Worken could standardize how businesses assess robot ROI beyond hardware costs, while AGIBOT’s models and OS push embodied AI closer to real-world deployment. The framework may influence industry benchmarks for autonomous robot performance.

## Sources

1. [AGIBOT Unveils Worken Framework to Quantify Robots’ Useful Output](https://unite.ai/agibot-unveils-worken-framework-to-quantify-robots-useful-output) (Unite.AI, 2026-10-29)

Part of the developing story: [AgiBot Humanoid Robotics Productivity Push](https://digestai.news/thread/agibot-demonstrates-110-robot-synchronized-routine-showing-fleet-scheduling) (2 stories)

## Cite

Digest AI, "Agibot introduces Worken framework to measure robot productivity in real-world tasks", 29 October 2026, https://digestai.news/story/agibot-introduces-worken-framework-to-measure-robot-productivity-in-re

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