Intelligent construction robotics using SLAM and industrial automation
Shenzhen Dafang AI designs and manufactures automated construction equipment powered by SLAM algorithms, industrial robot arms (ABB, KUKA, Fanuc, Yaskawa), and 5G connectivity. The tech stack—OpenCV, ROS, ORB-SLAM, Cartographer for perception layered atop Spring/Java backends and AWS infrastructure—reveals a hardware-software hybrid business focused on real-time site mapping and autonomous task execution. Current friction centers on deploying SLAM robustly in unstructured construction environments.
Dafang AI, founded by returnee PhD researchers, manufactures intelligent construction equipment for domestic and international markets. The product line combines robotic arms, autonomous platforms, and software that integrates high-speed internet and 5G for remote operation and coordination. Active work spans mechanical design, prototype validation, manufacturing process tracking, and SLAM algorithm deployment tuned for construction site conditions. The 11–50 person team is engineering-focused, based in Shenzhen, with no recent hiring velocity.
ABB, KUKA, Fanuc, and Yaskawa industrial robot arms, integrated with custom mechanical structures and ROS-based control software.
OpenCV, ORB-SLAM, and Cartographer for real-time site mapping and localization in construction environments.
Java with Spring, Spring Boot, and Spring Cloud frameworks; MySQL and Oracle for persistence; Redis for caching; Docker for deployment; hosted on AWS.