AgiBot proposes Worken robot workload framework
What happened
AgiBot co-founder, president and CTO Peng Zhihui proposed a robot workload measurement framework called Worken (Work+Token): by multiplying the number of active robots × autonomous working hours × output efficiency, it estimates the effective intelligent work completed by robots in real deployments, counting only time when tasks are actually executed and the robot operates autonomously, with output compared against a human baseline. AgiBot says the metric borrows from the cloud computing approach of usage-based metering, intending to shift the industry's comparison from shipments, units off the line and fleet size to work actually completed. AgiBot also says Worken is not a universal price for robot labor; the same value does not automatically represent the same financial value across different tasks, and its validity depends on clear work definitions, consistent operating records and an appropriate reference baseline. Business models based on Worken remain a longer-term possibility and have not yet been established. The examples in the report are hypothetical scenarios, not deployment results AgiBot has reported.
AI 根据报道生成 · 10 hours ago更新
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- Robotics & Automation NewsAGIBOT proposes Worken framework for measuring effective robot work
AGIBOT has proposed a robot workload measurement framework called Worken, which calculates "effective intelligent working hours" as "number of active robots × autonomous working duration × output efficiency ratio," linking the effective work robots actually complete with autonomous operating time and output quality.
- 人形大讲堂 · 微信公众号AgiBot proposes Worken robot energy-efficiency unit, discloses CEL collective experience learning validation results
At its 2026 Innovation Day, AgiBot's Peng Zhihui proposed the robot energy-efficiency unit Worken, defined as the number of active robots × autonomous working hours × output efficiency ratio, to measure how much work robots actually do. At the Longqi factory, 8 robots worked a cumulative 528 hours with an output efficiency ratio of 0.7, for a total of 2,956.8 Worken; at Guangzhou Metro, 120 robots worked 240 hours with an efficiency ratio of about 0.5, for a total of 14,400 Worken.
- 机器人daily · 微信公众号Agibot Proposes Worken as a Measure of Effective Intelligent Work Hours: From Horsepower and Kilowatt-Hours to Tokens, Humanoid Robots Gain a New Ruler
At its A.I.DAY event on October 29, Agibot proposed Worken (effective intelligent work hours) as a unit of measurement. The formula is the number of active robots × autonomous working duration × output efficiency ratio. It counts only robots that are online, able to execute tasks, and meet standards; it excludes teleoperation and charging/battery-swap periods from continuous autonomous working time; and it uses the qualified output of a standard worker per unit time as one equivalent.
- The Humanoid HubZhiyuan's Peng Zhihui proposes Worken metric for robot workload
Peng Zhihui of Zhiyuan Robotics proposed using Worken (Work + Token) to measure a robot's actual workload, with the formula: number of active robots × autonomous working hours × output efficiency. It counts only time spent genuinely executing tasks and running autonomously, with output compared against a human baseline. The metric draws on cloud computing's usage-based metering approach and is intended to shift the industry's competition from shipment volumes, units off the line, and fleet size toward work actually completed.
- 36氪 · 微信公众号AgiBot launches "Effective Intelligent Work Hours" Worken, plans to open-source GO-3 Preview and Genie Master by end of 2026
At the 2026 AgiBot Innovation Day, AgiBot launched Worken (Effective Intelligent Work Hours), its first value metric for physical AI, which measures the actual output of autonomous robot work using the number of active robots × autonomous working hours × output efficiency ratio. AgiBot also released its new-generation embodied foundation model GO-3 Preview and plans to fully open-source the model and the embodied Agent framework Genie Master by the end of 2026.
- AgiBotAgiBot proposes Worken framework for measuring effective robot work
AgiBot has proposed a robot workload measurement framework called Worken, which multiplies three factors—the number of active robots, autonomous working hours, and output efficiency ratio—to estimate the effective intelligent work hours completed by robots in real deployments. The framework was proposed by co-founder, president, and CTO Peng Zhihui, and emphasizes distinguishing powered-on time from autonomous operating time, and measuring qualified output against task benchmarks.
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