AGIBOT and Longcheer Technology Achieve World's First Embodied Al Deployment in Consumer Electronics Precision Manufacturing Mass-Production Line
AGIBOT, a robotics company focused on embodied intelligence, has announced the successful deployment of its AGIBOT G2 robots in a live precision manufacturing environment for consumer electronics, operated by Longcheer Technology, a global leader in smart device ODM manufacturing. This project represents the world’s first large-scale industrial use of embodied AI systems within core production processes in the consumer electronics sector.
Several AGIBOT G2 robots have been integrated into Longcheer’s tablet production lines, working alongside human operators in real manufacturing conditions. This milestone highlights the shift of embodied AI from experimental settings into stable and scalable industrial applications.
"2026 marks the beginning of large-scale deployment for embodied intelligence," said Dr. Yao Maoqing, Partner, Senior Vice President, President of Embodied Business Unit at AGIBOT. "This project demonstrates 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."
"This deployment represents more than a technical milestone, it marks the first real-world validation of embodied AI in consumer electronics precision manufacturing," said Li Long, General Manager of Longcheer's Robotics Division. "Working closely with AGIBOT, we accelerated the path from innovation to production. In just four months, the AGIBOT G2 was integrated into Longcheer's mass production line, delivering stable, continuous operation and meeting all key targets. This milestone highlights a scalable path forward for embodied AI in manufacturing."
From Pilot to Real-World Deployment
The consumer electronics manufacturing sector has long faced structural challenges, including rigid production lines, lengthy reconfiguration cycles, and difficulty adapting to fluctuating demand. As product lifecycles shorten and multi-model, small-batch production becomes the norm, traditional automation systems, often costly and inflexible, struggle to keep pace.

The joint AGIBOT–Longcheer initiative introduces embodied intelligence as a fundamentally new approach to manufacturing flexibility. By combining general-purpose robotics with AI-driven perception and decision-making, the solution enables rapid adaptation to dynamic production requirements without extensive hardware reconfiguration.
Within Longcheer's production environment, the 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 millimeter-level accuracy, and sort finished or defective units accordingly.
Unlike conventional industrial 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 (UPH)
- Cycle Time: approximately 19–20 seconds per operation
- Success Rate: Over 99.9% 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, over 140 hours of cumulative continuous operation, with downtime loss below 4%
A single AGIBOT G2 robot can replace multiple manual processes while maintaining consistent output, enabling manufacturers to balance efficiency, cost, and flexibility in a unified system.
Enabling Reliable, Scalable Deployment
The system's performance is enabled by AGIBOT's embodied AI approach, which allows robots to be deployed quickly, adapt to changing production conditions, and operate reliably in high-speed manufacturing environments.
By combining simulation-based validation, RL, and on-device intelligence, the system minimizes setup time, reduces the need for 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, while accelerating adoption across industries including automotive, semiconductors, and energy.
The milestone marks a broader shift in manufacturing, from rigid, hardware-defined automation toward flexible, software-driven intelligent systems powered by embodied AI.