AGIBOT and Longcheer Technology have implemented embodied artificial intelligence systems within a consumer electronics manufacturing environment, integrating AGIBOT G2 robots into tablet production lines operated by Longcheer.
The deployment involves multiple robots working alongside human operators on active production lines, where they perform tasks within multimedia integrated testing stations. The robots are used for loading and unloading tablets, positioning devices into testing fixtures, and sorting completed or defective units. The system operates within existing factory layouts and does not require customized tooling, enabling compatibility with mixed-model production.
According to AGIBOT, the deployment represents a transition of embodied AI systems from controlled testing environments into continuous industrial use. The robots are designed to navigate factory floors autonomously and execute tasks requiring precision at the millimeter level.
“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.”
The companies reported operational metrics from the deployment, including throughput of up to 310 units per hour and cycle times of approximately 19 to 20 seconds per task. The system maintained a reported success rate above 99.9 percent during continuous operation and supported round-the-clock production with limited human intervention. Integration of the robots into the production line was completed within 36 hours, with each unit capable of contributing to output levels of roughly 3,000 devices per shift.
The implementation addresses constraints commonly associated with traditional automation systems in consumer electronics manufacturing, including limited flexibility and long reconfiguration times. By combining robotics with AI-based perception and decision-making, the system is intended to support production environments characterized by shorter product lifecycles and varying batch sizes.
AGIBOT indicated plans to expand deployment of its G2 robots to 100 units by the third quarter of 2026 and to extend applications into other sectors, including automotive, semiconductor, and energy manufacturing.
