Yang Cen
Papers
1
Total Citations
10
H-Index
1
About
Yang Cen is a researcher whose work focuses on advancing autonomous navigation and perception in mobile robotics, with a particular emphasis on simultaneous localization and mapping (SLAM) techniques. Cen’s most notable contribution, the 2021 paper "Robot navigation using modified SLAM procedure based on depth image reconstruction," addresses a critical challenge in depth mapping: the loss of data in poorly lit or occluded environments. By proposing a modified SLAM procedure that reconstructs missing depth information, Cen’s work improves the robustness and accuracy of robot path planning in real-world conditions. This paper has garnered 10 citations, reflecting its relevance to ongoing efforts in enhancing robotic perception. Cen’s research is particularly valuable for applications in autonomous vehicles, service robots, and exploration systems, where reliable navigation under variable lighting is essential. Through this work, Yang Cen has contributed to making SLAM systems more resilient, helping to bridge the gap between theoretical mapping algorithms and practical deployment in challenging environments.
Research Focus
Key Achievements
Top Papers
- 1