AGIBOT Launches G2 Max and Worken Productivity Framework for Humanoid Operations

AGIBOT has significantly expanded its industrial humanoid portfolio with the formal launch of the G2 Max and the introduction of a productivity-focused software ecosystem. During its Innovation Day 2026 event, the company moved beyond hardware demonstrations to address the practical concerns of logistics and manufacturing managers: how to measure and manage a robotic workforce at scale.

Central to this push is the introduction of Worken, a proposed framework specifically designed to measure the productive work performed by humanoid robots in real-world environments. For enterprise buyers, this represents a shift from focusing on raw hardware specs to evaluating return on investment through standardized labor metrics. By quantifying output, AGIBOT is positioning its machines as direct labor replacements rather than experimental technology.

On the hardware front, the G2 Max represents the company's high-performance offering for industrial tasks. The machine is supported by the new AHA3 integrated hardware platform and the WITA-Omni 1.0 model, which are designed to streamline the integration of humanoid units into existing facility workflows. The company also showcased the Link-U OS 1.0, a unified operating system aimed at fleet management and cross-platform compatibility.

The introduction of the AGIBOT X2 and the G2 Max series highlights a maturing product line that targets different tiers of industrial capability. By providing a comprehensive stack—from the physical robot to the productivity measurement software—AGIBOT is attempting to lower the barrier to entry for operations managers who require clear data before committing to large-scale humanoid deployments.

As AGIBOT highlights real-world deployments alongside these new tools, the focus for the industry shifts toward the reliability of these metrics. If the Worken framework gains traction, it could become a benchmark for comparing humanoid performance across different manufacturers, forcing rivals to prove their value through audited productivity data rather than curated video demos.