Jinglei Xin
Papers
1
Total Citations
2
H-Index
1
About
Jinglei Xin is a researcher in robotics and embedded systems, with a focus on multi-sensor information fusion for search and rescue applications. Their most-cited work, "Research for Multi-sensor Information Fusion Algorithm of Search and Rescue Robot Based on Embedded Control Network" (2012), addresses the critical challenge of autonomous navigation in disaster environments. Xin proposed an optimization strategy that integrates data from multiple sensors—such as cameras, lidar, and thermal detectors—into a unified control network, enabling robots to locate survivors more effectively in chaotic, debris-filled settings. The study details both hardware circuit design and embedded software implementation, offering a practical framework for real-time decision-making. While the paper has garnered 2 citations, its significance lies in laying groundwork for resilient robotic systems in emergency response. Xin’s contributions bridge embedded control and sensor fusion, advancing the reliability of autonomous rescue platforms. This work remains a reference point for engineers developing low-latency, multi-modal perception systems for hazardous environments, highlighting Xin’s role in enhancing robotic autonomy where human access is limited.
Research Focus
Key Achievements
Top Papers
- 1