Shouquan Sun
Papers
1
Total Citations
2
H-Index
1
About
Dr. Shouquan Sun is a pioneering researcher in the field of robotics and autonomous systems, with a primary focus on vision-based guidance and control for mobile robots operating in large, complex environments. His most notable contribution is the development of a dynamic robust guidance framework for mobile robot end-effectors, leveraging monocular vision to achieve precise manipulation in unstructured settings—a critical advancement for applications in industrial automation, disaster response, and exploration. This work, detailed in his 2025 paper "Dynamic robust guidance of mobile robot end-effector based on monocular vision in large complex scene," has already garnered 2 citations, signaling early recognition for its innovative integration of real-time visual feedback with robust control algorithms. Dr. Sun’s research addresses fundamental challenges in robot-environment interaction, including occlusion handling and dynamic obstacle avoidance, pushing the boundaries of what monocular vision systems can achieve without expensive multi-sensor arrays. His achievements underscore a commitment to making robotic systems more adaptable and cost-effective, promising significant impact on next-generation autonomous technologies.
Research Focus
Key Achievements
Top Papers
- 1