Daxi Geng

Papers

Total Citations

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About

Daxi Geng is a researcher at the forefront of intelligent manufacturing and robotic systems for aerospace assembly. His work centers on developing innovative automation solutions that enhance precision and safety in aircraft production, with a particular focus on wall-climbing robots and self-positioning technologies. Geng’s most notable contribution is the "normal self-positioning method with gravity and friction compensation" for wall-climbing drilling robots, a breakthrough that addresses critical challenges in aircraft assembly—such as maintaining accurate tool orientation on curved, vertical surfaces. This method, detailed in his 2025 paper, has already garnered 23 citations, reflecting its immediate impact on the field. By integrating real-time compensation algorithms, Geng’s research enables robots to perform high-precision drilling tasks without manual intervention, significantly improving efficiency and reducing human error. His work bridges robotics, control theory, and aerospace engineering, offering practical solutions for complex manufacturing environments. For students and researchers exploring the intersection of automation and aerospace, Geng’s contributions exemplify how theoretical advances can directly transform industrial practices, making him a key figure in the evolution of smart assembly systems.