Papers

5

Total Citations

36

H-Index

4

About

Weichen Dai is a researcher advancing the frontier of mobile robotics, with a focus on robust perception and control in complex, real-world environments. His primary research areas encompass simultaneous localization and mapping (SLAM), LiDAR-based localization, and aerial manipulation. Dai’s most significant contribution is his work on RGB-D SLAM in dynamic environments, where he developed methods to track moving objects while simultaneously building a static map, directly addressing a critical limitation of traditional SLAM systems. This work has garnered 12 citations, highlighting its relevance to the field. He has also made notable strides in improving LiDAR-based pose estimation, introducing sensitivity and uncertainty theories to select optimal point sets for enhanced accuracy—a contribution that has earned him 4 and 3 citations in related studies. Beyond perception, Dai has designed control architectures for aerial manipulators performing pick-and-place tasks with unknown payloads, a key achievement for indoor assistive robotics. His research on error analysis-based map compression for efficient 3D LiDAR localization further demonstrates his commitment to practical, scalable solutions. Through these contributions, Dai is shaping the future of autonomous systems that can perceive, navigate, and interact with the world more reliably.

Research Focus

Key Achievements

4
H-Index
5
Papers
36
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
RGB‐D SLAM with moving object tracking in dynamic environments
12 citations · 2021
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou Dianzi University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago