Guosen Xian
Papers
1
Total Citations
3
H-Index
1
About
Dr. Guosen Xian is a researcher whose work sits at the intersection of robotics, computer vision, and embedded artificial intelligence. His primary research focus involves developing intelligent positioning systems for robotic manipulators, with a particular emphasis on monocular vision-based approaches. In his most cited work, "Design of target positioning system for monocular vision manipulator based on neural network" (2021, 3 citations), Dr. Xian engineered a sophisticated target space positioning system that integrates target detection with monocular camera manipulators. The system’s architecture is notable for its practical, edge-computing approach: it employs the EdgeBoard embedded AI computing card as its core controller, runs on a Linux operating system, and leverages the Paddle-Lite deep learning inference framework for real-time neural network predictions. This design demonstrates Dr. Xian’s commitment to creating efficient, deployable solutions that bring advanced AI capabilities directly onto hardware-constrained robotic platforms. His work contributes meaningfully to the growing field of embedded AI in robotics, offering a pathway toward more autonomous and responsive manipulator systems.
Research Focus
Key Achievements
Top Papers
- 1