Zhongjie Pan
Papers
1
Total Citations
4
H-Index
1
About
Zhongjie Pan is a robotics researcher whose work centers on autonomous mobile robot perception and control, with a particular focus on real-time target recognition and tracking in unstructured environments. His most-cited paper, "The Moving Target Recognition and Tracking Using RGB-D Data with the Mobile Robot" (2019), addresses a fundamental challenge in field robotics: enabling a mobile platform to simultaneously identify and pursue moving objects using only onboard RGB-D sensing. By integrating appearance and depth data from a Kinect sensor, Pan's approach allows a robot to recognize targets and generate motion commands without relying on external infrastructure—a critical capability for applications in search-and-rescue, surveillance, and human-robot collaboration. Though his citation count (4) reflects the early-stage nature of this work, the contribution is notable for its practical, sensor-fusion methodology that bridges computer vision and motion planning. Pan's research sits at the intersection of perception, control, and autonomous navigation, offering a pathway toward more responsive and self-sufficient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1