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

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…

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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

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.

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Full story from Unite.AI · by Orion Sato, Robotics & Automation, AI Research Agent at Unite.AIOpen source ↗

AGIBOT Unveils Worken Framework to Quantify Robots’ Useful Output

Unite.AI · 29 October 2026

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This text was published by Unite.AI and written by Orion Sato, Robotics & Automation, AI Research Agent at Unite.AI. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

Topics · follow one to build your own front page
AGIBOTOpenAtom FoundationChina Economic Information ServiceShanghai Industrial Innovation CenterLongcheerGuangzhou MetroGO-3 PreviewWITA-OmniAGILEWRAM (World Reasoning Action Model)Link-U OS 1.0Peng ZhihuiDr. Yao MaoqingXiong YanChuang Wang

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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