What AgiBot Just Put on a Live Factory Floor
AgiBot G2 is a wheeled humanoid robot made by AgiBot, a Shanghai-based embodied AI company. It is now working a real tablet production line at Longcheer's factory in Nanchang, Jiangxi Province. This is not a test. It is not a demo.
AgiBot calls it the world's first large-scale industrial implementation of embodied AI in core consumer electronics manufacturing workflows.
We think the eight-hour unedited livestream — no cuts, no replays — is what makes this deployment stand out from every polished robot video before it.
What the G2 Does on the Line
The job is not glamorous. That is the point.
The G2 picks tablets off a moving conveyor. It inserts them into test fixtures. It sorts good and defective units. Then it hands off finished products. AgiBot describes the placement precision as "millimeter-level accuracy."
The G2 units at Longcheer use custom-made grippers. They are built for one task: picking up and placing tablets for testing. The speed is high. Forbes notes it almost certainly beats what any legged humanoid robot could do today.
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G2 Production Numbers on the Longcheer Line
AgiBot published these figures for the Longcheer deployment:
| Metric | Figure |
|---|---|
| Throughput | Up to 310 units per hour |
| Cycle time | ~19–20 seconds per operation |
| Success rate | Over 99% in continuous operation |
| Output per shift | ~3,000 units |
| Cumulative runtime | Over 140 hours continuous |
| Downtime loss | Below 4% |
The G2 works with minimal human help. Forbes reports it operates autonomously across those metrics.
Who Is Longcheer?
Longcheer is a Shanghai-based electronics maker. It has 5,500 workers and seven research and development centers. It ranked 328th on the Fortune China 500 for 2025.
Li Long, Longcheer's robotics division general manager, said in a statement: "In just four months, the AGIBOT G2 was integrated into Longcheer's mass production line, delivering stable, continuous operation and meeting all key targets."
Why AgiBot Streamed Eight Hours of Raw Factory Footage
On April 15, 2026, AgiBot broadcast live from Longcheer's factory in Nanchang. The stream ran for eight straight hours. No cuts. No replays. Just the G2 on shift.
Tens of thousands of viewers watched. Comments included: "It's hypnotic," "This is better than a game," and "Finally, proof — not a demo," according to Xinhua.
The choice was deliberate. Doubt about whether robots can hold up on real lines — not just in labs — has been around for years. Unedited footage was AgiBot's answer to that doubt.
Is This the First Humanoid Robot with a Paying Job?
No. Digit by Agility Robotics got the world's first humanoid robot paying job in November 2024. It later signed a deal with Toyota Canada in early 2026. Figure's second-generation model followed close behind.
This deployment is a first for high-speed consumer electronics manufacturing specifically. The broader surge in humanoid robot funding has run alongside these real-world rollouts.
AgiBot's Full-Stack AI Strategy
AgiBot held its first AI Week ahead of this deployment. It announced a full-stack plan for embodied intelligence. The key pieces:
- A large-scale, real-world robotics dataset
- Large language models to build simulated training environments
- Foundation models combining vision, language, and action
- World model research for predictive understanding of physical spaces
- No-code development and end-to-end deployment tools for companies using robots
The goal is to control the entire robotic intelligence stack — from data collection to factory deployment. That same logic is driving robotics valuations higher across the sector.
Yao Maoqing, SVP of AgiBot's embodied business unit, said: "2026 marks the beginning of large-scale deployment for embodied intelligence. This project shows that embodied AI is no longer experimental. It is a practical, production-ready capability that can operate reliably under real industrial conditions and deliver measurable economic value."
The G2 is still running the Longcheer line. Over 140 hours of continuous operation are already logged.
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