Shaowu Yang

National University of Defense Technology

Papers

26

Total Citations

323

H-Index

10

About

Shaowu Yang is a robotics researcher whose work spans autonomous navigation, simultaneous localization and mapping (SLAM), and coverage path planning — areas that sit at the heart of modern intelligent robotic systems. His research has made meaningful contributions to the field of robot perception, demonstrated early on through his work on camera parameter auto-adjustment using image entropy and omnidirectional vision sensors for soccer robots, both published in 2010 and accumulating over 60 citations combined. Yang's focus on robust environmental mapping deepened with his development of real-time 3D mapping using 2D laser scanners with IMU-aided visual SLAM, and later CORB-SLAM, a collaborative multi-robot visual SLAM system that extended these capabilities to robot teams. More recently, he has pushed into cutting-edge territory with ESVIO, an event-based stereo visual-inertial odometry system harnessing bio-inspired event cameras. His prolific 2023 contributions to multi-robot Dubins coverage path planning, already earning 44 citations, reflect growing relevance to aerial monitoring and search-and-rescue applications. Across more than a decade of research, Yang has consistently bridged theoretical rigor with practical autonomous systems, accumulating over 250 citations and establishing himself as a versatile and impactful voice in mobile robotics.

Research Focus

Key Achievements

10
H-Index
26
Papers
323
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Exact and Heuristic Multi-Robot Dubins Coverage Path Planning for Known Environments
44 citations · 2023
📈 Most Prolific Year: 2023 (5 Papers)
🤝 Key Collaborators: 56
🏛 Institutions: National University of Defense Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago