AGIBOT deployed multiple G2 humanoid robots into a live consumer electronics precision manufacturing line operated by Longcheer Technology, where the robots now achieve a throughput of up to 310 units per hour with cycle times of 19-20 seconds, a success rate above 99% in continuous operation, deployment completed within 36 hours, and approximately 3,000 units per shift with cumulative continuous operation exceeding 140 hours and downtime loss below 4%. According to Dr. Yao Maoqing, a partner, senior vice president, and president of the embodied business unit at AGIBOT, "2026 marks the beginning of large-scale deployment for embodied intelligence. 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," while Li Long, the general manager of Longcheer's robotics division, added: "This deployment represents more than a technical milestone; it marks the first real-world validation of embodied AI in consumer electronics precision manufacturing. 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." The G2 robot — 100% automotive-grade components with full IP42 protection, 26 degrees of freedom across its full body, dual hot-swappable batteries with pass-through charging for 24/7 operation — is deployed at multimedia integrated testing stations in Longcheer's tablet lines, where 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, replacing custom-tooled automation with a system that supports mixed-model production and faster changeovers. AGIBOT's embodied AI stack combines simulation-based validation, reinforcement learning, and on-device intelligence, minimizing setup time and the need for manual adjustments in continuous production. With multiple units already operating in Longcheer's line, AGIBOT plans to scale the deployment to 100 robots by Q3 2026 and accelerate adoption across adjacent industries including automotive, semiconductors, and energy.