Yueshan Xiong

National University of Defense Technology

Papers

Total Citations

H-Index

About

Yueshan Xiong is a robotics researcher whose work centers on autonomous navigation, sensor-based control, and real-time motion planning for mobile robots. A key contribution is the development of an active hand-eye calibration method that uses online, accuracy-driven next-best-view selection, enabling robotic systems to autonomously refine their perception and manipulation capabilities. This 2022 paper has already garnered 14 citations, reflecting its relevance to advancing robot autonomy. Earlier, Xiong proposed an improvement to linear navigation laws by equating obstacles to velocity vectors based on relative distance and direction, allowing mobile robots to navigate more intelligently in dynamic environments. Additionally, Xiong addressed the challenge of real-time trajectory tracking under kinematic and dynamic constraints, providing practical solutions for wheeled mobile robots. These works, though earlier in their citation lifecycle, demonstrate a sustained focus on bridging theoretical control strategies with real-world robotic applications. Xiong’s research is particularly valuable for students and engineers working on autonomous systems, offering foundational insights into calibration, obstacle avoidance, and constrained motion control.