Xingsheng Zhang
Papers
1
Total Citations
8
H-Index
1
About
Dr. Xingsheng Zhang is a robotics researcher whose work focuses on sensor fusion and simultaneous localization and mapping (SLAM) for assistant robots. His most-cited paper, published in 2022, introduces a novel SLAM algorithm that asynchronously fuses laser and vision sensor data using a weighted approach. This method outperforms traditional synchronous fusion techniques by more effectively leveraging redundant visual data, thereby improving localization accuracy and mapping robustness in dynamic environments. With eight citations, this work demonstrates growing interest in Zhang's contributions to autonomous navigation. His research addresses critical challenges in mobile robotics, particularly in enhancing sensor efficiency and real-time performance. Zhang's innovative approach to asynchronous data fusion offers practical solutions for assistant robots operating in complex, real-world settings, marking him as an emerging voice in the field of intelligent robotics and sensor integration.
Research Focus
Key Achievements
Top Papers
- 1