Linkerbot

Lingxin Qiaoshou (Linkerbot) Technology is a developer of high-degree-of-freedom (DOF) dexterous robotic hands and cloud-based intelligence for the embodied AI sector. The company was founded in 2023 by CEO Zhou Yong, who has over a decade of experience in robotics and internet products, and co-founder Zhang Yanbai. The core technical team includes talent from well-known robotics firms and top universities such as Tsinghua and Peking University.

The company's main offerings are its "Linker Hand" series of robotic hands, which are designed to replicate the dexterity and functionality of human hands. These products feature multiple degrees of freedom (with models offering up to 25 DOF), integrated multi-sensor systems for visual and tactile feedback, and are built on both link-rod and tendon-driven architectures. The hands are designed for high-precision tasks and can be controlled via a cloud-based platform, which includes a skill library and supports remote operation through motion capture gloves. Lingxin Qiaoshou serves clients in industrial automation, scientific research, and education. Customers include companies like Meizu, Foxconn, and ZTE, as well as research institutions like Stanford, Cambridge, Tsinghua, and Peking Universities.

The business model is based on the sale of its robotic hands, such as the L10 and L20 models, and associated hardware like motion-capture gloves and control systems. The company has achieved mass production, with monthly sales exceeding one thousand units, and claims to hold over 80% of the global market share for high-DOF dexterous hands. The firm has secured significant funding, including a seed round of over 100 million yuan and an angel round in the hundreds of millions of yuan led by prominent investors like Ant Group, CICC Capital, and Sequoia China Seed Fund.

Keywords: dexterous robotic hands, embodied intelligence, humanoid robots, high-degree-of-freedom, robotic manipulation, tactile sensors, industrial automation, robot end-effectors, motion capture, machine vision, human-robot interaction, cloud robotics, robotics research, precision assembly, robotic grasping, remote operation, mechatronics, AI in robotics, intelligent manufacturing, robotic systems