Yuyao Zhang
Papers
1
Total Citations
5
H-Index
1
About
Yuyao Zhang is a researcher whose work sits at the intersection of robotics, control systems, and computer vision. Their most-cited paper, "Model Predictive Control Design of a 3-DOF Robot Arm Based on Recognition of Spatial Coordinates" (2023, 5 citations), exemplifies a key contribution: integrating monocular camera-based spatial recognition with Model Predictive Control (MPC) to optimise torque inputs for a three-degree-of-freedom robotic arm. This approach enables precise object grasping by first identifying colour and depth coordinates, then dynamically adjusting control inputs—a practical fusion of perception and motion planning. While early in citation impact, this work highlights Zhang’s focus on real-time, adaptive robotic manipulation. Their research addresses fundamental challenges in autonomous systems, bridging low-level control with high-level environmental understanding. For students and researchers, Zhang’s methodology offers a template for combining computer vision with advanced control theory, demonstrating how MPC can enhance accuracy in unstructured settings. As their publication record grows, Zhang’s contributions are poised to influence fields like industrial automation and assistive robotics, where reliable, vision-guided manipulation is critical.
Research Focus
Key Achievements
Top Papers
- 1