AGIBOT produces 15,000th robot, marking a milestone in embodied AI deployment

AGIBOT G2 robots work on Longcheer’s tablet production lines. Source: AGIBOT

AGIBOT Innovation Technology Co. today said that the 15,000th robot has rolled off its production line. The company said this reflects its progress in moving embodied AI systems from product validation and batch production toward larger-scale deployment.

“The rollout of our 15,000th robot is not only an important milestone in AGIBOT’s mass production and engineering delivery capabilities, but also a reflection of the broader industry’s move toward scaled deployment in real-world settings,” stated Dr. Yao Maoqing, partner, senior vice president, and president of the embodied AI business unit at AGIBOT.

“As the industry moves from proof of concept toward real-world application, AGIBOT will continue to bring robots into more real-world scenarios and advance the industrialization of embodied AI through scaled delivery and deployment,” he said.

Founded in 2023, AGIBOT said it is developing the foundation model and corresponding robotic embodiments needed to bring general intelligence into the physical world. Its claimed that its “Three Intelligences in One” architecture integrates locomotion, Interactions, and manipulation into a unified system. The Shanghai-based company ‘s portfolio spans humanoid robots, quadrupeds , dexterous systems, and commercial cleaning systems.

AGIBOT previously announced that it took about a year to grow from 1,000 to 5,000 units. The next step, from 5,000 to 10,000 units, took only three months, with production speed increasing by more than four times compared with the previous phase.

The company said it has further extended this acceleration to 15,000 units. The milestone unit was an AGIBOT G2 , a wheeled mobile manipulator with a humanoid torso and arms designed for industrial tasks.

“The completion of AGIBOT’s 15,000th robot marks more than a production milestone,” said AGIBOT. “It reflects a broader set of capabilities spanning product portfolio development, supply chain readiness, standardized manufacturing, engineering delivery, and on-site deployment.”

It noted that bringing embodied AI from production to real-world use required integrated capabilities across robot body design, full-system manufacturing, software-hardware integration, application-specific adaptation, and implementation in the field. “Sustained production at this scale requires not only strong product development, but also reliable supply, repeatable manufacturing processes, and the ability to deliver robots into working environments,” said the company.