Xiyuan Peng
Papers
1
Total Citations
2
H-Index
1
About
Xiyuan Peng is a leading researcher in embedded instrumentation and condition monitoring for unmanned and autonomous systems (UAS). His work addresses the critical challenge of ensuring reliability and safety as these systems grow in complexity and autonomy. Peng’s major contribution lies in developing online monitoring solutions that integrate directly into UAS hardware, enabling real-time fault detection without interrupting operations. His most-cited paper, "An Embedded Instrument for Online Condition Monitoring of Unmanned and Autonomous Systems" (2022), has garnered 2 citations and lays the groundwork for more resilient autonomous platforms in both civil and military applications. By focusing on embedded, AI-driven diagnostics, Peng helps bridge the gap between advanced autonomy and practical dependability. His research is particularly vital for applications where system failure is not an option, such as drone delivery, surveillance, and autonomous exploration. Peng’s work continues to influence the next generation of self-monitoring, fail-safe autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1