Rui Zhai

Papers

Total Citations

H-Index

About

Rui Zhai is a robotics researcher whose work centers on the intersection of computer vision and robotic manipulation, with a particular focus on humanoid platforms like the NAO robot. In their most-cited paper, "Trajectory planning of NAO robot arm based on target recognition" (2017, 3 citations), Zhai developed a method for enabling a robot arm to autonomously grasp objects by first identifying target positions using NaoMarks, then planning an optimal motion path. This involved establishing a kinematic model of the arm via the D-H (Denavit-Hartenberg) parameterization, a foundational technique in robotics. By integrating visual recognition with trajectory optimization, Zhai’s work addresses a core challenge in service robotics: how to make robots interact reliably with their environment. While still early in their career, Zhai’s research contributes to the broader goal of creating more autonomous and adaptable robotic systems, bridging the gap between perception and action. Their approach offers a practical framework for students and researchers interested in combining computer vision with motion planning on affordable, widely-used robotic platforms.