ARTICLE

AgiBot G2 moves from humanoid demo to factory deployment

The Longcheer production-line case gives AgiBot a more concrete industrial signal than most humanoid announcements: named customer, named task, measurable throughput, and a stated expansion plan.

AgiBot has deployed G2 robots with Longcheer Technology on consumer electronics production lines.

The electronics manufacturer Longcheer was listed among the investors in AgiBot’s March 2025 financing round, alongside Tencent, Lanchi Ventures, Wolong Electric, Hikvision, and other backers. The factory deployment now gives that financial relationship a more operational shape.

The deployment places AgiBot G2 robots at MMIT testing stations on Longcheer tablet production lines. The robots handle device loading, fixture placement, post-test sorting, and movement around the production environment. AgiBot says integration took 36 hours, with multiple units already operating on site.

Tablet testing creates repeated handling steps around existing fixtures, conveyors, and inspection workflows. A robot in that setting is being inserted into a station-level task where cycle time, placement accuracy, uptime, and failure recovery can be measured.

AgiBot reports throughput of up to 310 units per hour, a cycle time around 19 to 20 seconds per operation, a success rate above 99 percent, more than 140 hours of cumulative continuous operation, downtime loss below 4 percent, and a plan to expand the Longcheer deployment to 100 robots by Q3 2026. Those are company-reported figures, but they are more specific than most humanoid deployment claims because they describe the task, site, operating metrics, and expansion target.

The Longcheer case also fits AgiBot’s earlier manufacturing path. WIRED reported in late 2025 that AgiBot robots were already being tested at Longcheer, with the company using teleoperation and reinforcement learning to train robots for manufacturing work. The April 2026 deployment looks like a continuation of that work rather than a standalone factory demo.

G2 is the relevant product in AgiBot’s lineup because it sits on the industrial side of the company’s portfolio. A2 and X2 give AgiBot service, interaction, education, and entertainment surfaces. G2 is tied to production work, where the company has to prove reliability in repeated tasks instead of controlled demos.

The Longcheer relationship gives AgiBot a cleaner industrial reference point. It links an investor, a manufacturing customer, a named robot line, a defined station-level workflow, and a stated scale target.

The deployment still needs external validation. A 100-robot expansion would matter more than the first station-level case, especially if AgiBot can show reliability across more lines, device types, and factory workflows. Until then, Longcheer should be treated as a strong reference site rather than proof of broad humanoid factory adoption.

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