Papers
6
Total Citations
37
H-Index
4
About
Xidong Zhou is an emerging robotics researcher whose work spans aerial robotics, mobile robot navigation, and autonomous systems, with a particular focus on practical applications in healthcare and disaster response environments. Zhou has made notable contributions to the field of indoor localization, developing adaptive sensor fusion techniques that combine ultra-wideband (UWB) technology with odometry to achieve robust, centimeter-level positioning for mobile robots — work that has garnered 9 citations and addresses longstanding limitations in indoor navigation. His research on graph-based SLAM methodologies, particularly for UVC disinfection robots deployed during the COVID-19 pandemic, demonstrates a commitment to translating robotics research into real-world humanitarian impact. More recently, Zhou's comprehensive survey on new types of aerial robots (NTARs) has quickly attracted 15 citations since its 2024 publication, signaling his growing influence in the broader aerial robotics community and highlighting the expanding morphological and locomotion diversity of next-generation platforms. His 2025 work on two-stage local path planning further reflects an evolving research agenda toward more sophisticated autonomous navigation. Collectively, Zhou's portfolio reveals a researcher bridging theoretical advancement with urgent societal needs, making his work especially relevant for students interested in applied robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Current Status, Challenges, and Prospects for New Types of Aerial Robots15 citations · 2024
- 2
- 3A location method based on UWB for ward scene application4 citations · 2021
- 4
- 5Research on Graph-Based SLAM for UVC Disinfection Robot3 citations · 2021
- 6