Dobot Robotics

About Dobot Robotics

Shenzhen Yuejiang Technology Co., Ltd., operating under the brand name DOBOT, was established in August 2015. The company was founded by a team with a background in the robotics industry, including Jerry Liu, who serves as the CEO. DOBOT's journey began with a successful Kickstarter campaign in 2015 for its first-generation robotic arm, which garnered significant international attention and funding. This initial success was followed by another Kickstarter campaign in 2017 for the DOBOT M1. The company focuses on the development of all-perceptive, intelligent robotic arms that integrate perception and interaction.

DOBOT's business model revolves around providing lightweight and flexible smart robotic arms for various sectors, including industrial automation, commercial applications, and, notably, education. In the educational market, the company offers a comprehensive ecosystem that includes hardware, software, and curriculum content, aiming to support STEM education from K12 to higher and vocational levels. For industrial clients, DOBOT's collaborative robots (cobots) are designed to be easily deployed in production lines for tasks such as assembly, dispensing, and inspection, serving industries like automotive, electronics, and semiconductor manufacturing. The company generates revenue through the direct sale of its robotic arms, associated software, and educational packages.

The product portfolio includes a range of collaborative robots known for their ease of programming and deployment. A key feature of DOBOT's offerings is their graphical programming interface, which simplifies the operation of the robots, making them accessible to users without extensive programming knowledge. The product line features various models, such as the CR and CRA series, which are designed for industrial automation, and the Magician series, which is tailored for educational purposes. These robots are equipped with capabilities for tasks like smart palletizing, welding, and handling, positioning them as versatile tools for both learning environments and smart factory settings.