Xin Peng

University of California, Berkeley

Papers

1

Total Citations

3

H-Index

1

About

Xin Peng is a researcher at the forefront of integrating virtual reality (VR) with autonomous unmanned aerial vehicle (UAV) technology for structural inspection. Their key research areas encompass virtual reality simulation, autonomous UAV navigation, and infrastructure monitoring. Peng’s major contribution lies in developing a pioneering VR environment that enables the safe, cost-effective design and testing of autonomous UAV-based inspection systems—a critical step toward real-world deployment. This work, published in 2022, has already garnered 3 citations, signaling early recognition in the field. By bridging the gap between simulated testing and practical application, Peng’s research addresses the pressing need for efficient, non-destructive inspection of bridges, buildings, and other critical structures. Their notable achievement includes creating a platform that reduces the risks and costs associated with physical UAV trials, making autonomous inspection more accessible. For students and researchers, Peng’s work offers a compelling example of how immersive technologies can accelerate the development of robotics for real-world challenges, with potential to transform maintenance and safety protocols across civil engineering and beyond.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A Virtual Reality Environment for Developing and Testing Autonomous UAV-Based Structural Inspection
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of California, Berkeley

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago