Peiyi Zheng
Papers
1
Total Citations
29
H-Index
1
About
Peiyi Zheng is a leading researcher in multi-robot systems, with a focus on enhancing relative localization in infrastructure-free environments. Their key contributions lie in sensor fusion, particularly integrating Ultra-Wideband (UWB) technology with Visual-Inertial Odometry (VIO) to achieve accurate and robust relative pose estimation for ground robotic teams. Zheng's most cited work, "UWB-VIO Fusion for Accurate and Robust Relative Localization of Round Robotic Teams" (2022), has garnered 29 citations, addressing a critical challenge in multi-robot coordination by improving precision and reliability without external infrastructure. This research has significant implications for autonomous swarms in GPS-denied settings, such as search-and-rescue or exploration missions. Zheng's innovative fusion approach demonstrates a deep understanding of both hardware and algorithmic constraints, advancing the field's ability to deploy resilient, cooperative robotic systems. Their work continues to inspire new methods in relative localization, making Zheng a notable figure in robotics and autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1