Humanoid Robotics Technology
AGIBOT has announced the successful deployment of its AGIBOT G2 robots into a live consumer‑electronics precision manufacturing environment operated by Longcheer Technology, a global leader in smart‑device ODM production. This project represents the world’s first large‑scale industrial implementation of embodied AI systems within core production workflows in consumer‑electronics manufacturing.
Multiple AGIBOT G2 robots have now been integrated into Longcheer’s tablet production lines, working alongside human operators in real factory conditions. This milestone marks the shift of embodied AI from controlled laboratory demonstrations to stable and scalable industrial deployment.
“2026 marks the beginning of large‑scale deployment for embodied intelligence,” said Dr. Yao Maoqing, Partner, Senior Vice President and President of the Embodied Business Unit at AGIBOT. “This project shows that embodied AI is no longer experimental. It is a practical, production‑ready capability that can operate reliably in real industrial environments and deliver measurable economic value.”
“This deployment is more than a technical achievement. It is the first real‑world validation of embodied AI in consumer‑electronics precision manufacturing,” said Li Long, General Manager of Longcheer’s Robotics Division. “Through close collaboration with AGIBOT, we accelerated the journey from innovation to production. Within four months, the AGIBOT G2 was integrated into Longcheer’s mass‑production line, delivering stable, continuous operation and meeting all key performance targets. This milestone demonstrates a scalable path forward for embodied AI in manufacturing.”
From Pilot to Real‑World Deployment
Consumer‑electronics manufacturing has long faced structural challenges, including rigid production lines, lengthy reconfiguration cycles and limited ability to adapt to fluctuating demand. As product lifecycles shorten and multi‑model, small‑batch production becomes standard, traditional automation systems, often costly and inflexible, struggle to keep pace.
The AGIBOT and Longcheer initiative introduces embodied intelligence as a new approach to manufacturing flexibility. By combining general‑purpose robotics with AI‑driven perception and decision‑making, the solution enables rapid adaptation to changing production requirements without extensive hardware reconfiguration.
Within Longcheer’s production environment, AGIBOT G2 robots are primarily deployed at MMIT (Multimedia Integrated Testing) stations, performing precision loading and unloading tasks. Operating on high‑speed assembly lines, the robots autonomously pick up tablets, navigate complex factory layouts, place devices into testing fixtures with millimetre‑level accuracy and sort finished or defective units accordingly.
Unlike conventional automation, the system requires no custom tooling and supports mixed‑model production, enabling faster changeovers and significantly reducing downtime.
Proven Performance at Industrial Scale
The deployment has demonstrated strong, quantifiable performance across key industrial metrics:
- Throughput: up to 310 units per hour
- Cycle time: approximately 19 to 20 seconds per operation
- Success rate: above 99 percent in continuous operation
- Deployment time: production line integration completed within 36 hours
- Production output: approximately 3,000 units per shift
- Operational stability: supports 24/7 autonomous operation with minimal human intervention, more than 140 hours of cumulative continuous operation and downtime loss below 4 percent
A single AGIBOT G2 robot can replace multiple manual processes while maintaining consistent output, allowing manufacturers to balance efficiency, cost and flexibility within a unified system.
Enabling Reliable, Scalable Deployment
The system’s performance is driven by AGIBOT’s embodied AI approach, which enables rapid deployment, adaptation to changing production conditions and reliable operation in high‑speed manufacturing environments.
By combining simulation‑based validation, reinforcement learning and on‑device intelligence, the system reduces setup time, minimises manual adjustments and ensures stable performance in continuous production.
With multiple units already in operation, AGIBOT plans to expand deployment to 100 robots by Q3 2026 and accelerate adoption across sectors including automotive, semiconductors and energy.
This milestone reflects a broader shift in manufacturing, moving from rigid, hardware‑defined automation toward flexible, software‑driven intelligent systems powered by embodied AI.
Source: AGIBOT
