Yixuan Zhang
Papers
1
Total Citations
17
H-Index
1
About
Yixuan Zhang is a robotics researcher whose work centers on simultaneous localization and mapping (SLAM) for humanoid robots, with a particular focus on sensor fusion and closed-loop control. In their most-cited paper, "Indoor SLAM Using Laser and Camera with Closed-Loop Controller for NAO Humanoid Robot" (2014, 17 citations), Zhang introduced an integrated approach that combines laser rangefinder data with camera-based landmark recognition to enable robust navigation for Aldebaran’s NAO robot. This work is notable for its closed-loop controller design, which enhances stability and accuracy in indoor environments—a critical challenge for bipedal platforms. By fusing two complementary sensing modalities, Zhang demonstrated how to overcome the limitations of individual sensors, achieving more reliable real-time mapping and localization. This contribution has been cited by researchers advancing humanoid autonomy and sensor integration, reflecting its practical impact on the field. Zhang’s research sits at the intersection of robotics, computer vision, and control systems, offering foundational insights for students and engineers working on autonomous navigation in constrained, indoor settings.
Research Focus
Key Achievements
Top Papers
- 1