Yushan Chen
Papers
1
Total Citations
76
H-Index
1
About
Yushan Chen is a researcher whose work sits at the intersection of robotics, sensor fusion, and intelligent systems. His most recognized contribution, published in 2015 and accumulating 76 citations, addresses one of the fundamental challenges in autonomous robotics: accurate indoor localization. In this work, Chen developed a sophisticated approach for intelligent mobile robots by fusing gyroscope and magnetometer data through a combination of fuzzy compensation techniques and Kalman filtering. This method enables robots to perform reliable relative positioning in indoor environments — where GPS signals are unavailable — while simultaneously supporting multi-functional capabilities such as object recognition, grasping, and obstacle avoidance. By intelligently compensating for sensor noise and drift, Chen's framework significantly improves localization accuracy, a critical requirement for practical deployment of service robots in real-world settings. His research speaks directly to the growing demand for autonomous systems capable of operating safely and efficiently in human environments. The citation impact of his work reflects its relevance to the broader robotics and automation community, making it a meaningful reference point for researchers tackling navigation and perception challenges in mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1