Honglian Xiang

Wuhan University of Science and Technology

Papers

Total Citations

H-Index

About

Honglian Xiang’s research centers on mobile robotics, computer vision, and intelligent control systems, with a particular focus on enabling autonomous decision-making in dynamic, adversarial environments. Her most cited work, “Mobile Robot Automatic Aiming Method Based on Binocular Vision” (2021), introduces a novel control approach that allows robots to automatically detect, track, and accurately shoot projectiles at moving targets in complex combat scenarios. By integrating an improved object detection algorithm with binocular vision, Xiang’s method significantly enhances a robot’s ability to perceive depth and adjust aim in real time—a critical step toward fully autonomous robotic systems in defense and competitive robotics. Though her citation count is currently modest, this work represents a foundational contribution to the intersection of visual perception and precision control, and it has been cited in subsequent studies on robotic targeting and vision-guided manipulation. Xiang’s research is particularly notable for its practical orientation, bridging theoretical advances in computer vision with real-world robotic applications. Her work continues to inspire new approaches to autonomous aiming, target tracking, and human-robot interaction in high-stakes environments.