Papers

11

Total Citations

306

H-Index

8

About

Kun Tang is a robotics researcher whose work centers on the design, control, and perception systems of amphibious spherical robots — a niche yet increasingly vital area bridging underwater exploration and terrestrial mobility. His most influential contribution, "Modeling and experimental evaluation of an improved amphibious robot with compact structure" (2017, 101 citations), established a foundational framework for next-generation amphibious platforms, demonstrating how mechanical ingenuity can yield robots capable of operating seamlessly across challenging environments. Tang's research spans an impressive range of technical domains, including structural fatigue analysis, multi-robot cooperative localization using RGB-D cameras and IMU fusion, and advanced visual detection and tracking systems tailored to ecological observation and intelligent surveillance applications. His work on Kalman filter-based navigation, fuzzy PID motion control, and underwater pipeline tracking reflects a comprehensive approach to making autonomous amphibious robots practically deployable. With over 300 cumulative citations across his key publications, Tang has made a measurable impact on autonomous underwater vehicle research and multi-modal robotics. His sustained focus on real-world applicability — from quadruped gait design to adaptive visual tracking — makes his body of work particularly valuable for researchers developing robots destined for complex, unstructured amphibious environments.

Research Focus

Key Achievements

8
H-Index
11
Papers
306
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Modeling and experimental evaluation of an improved amphibious robot with compact structure
101 citations · 2017
📈 Most Prolific Year: 2017 (6 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Beijing Institute of Technology, Ministry of Industry and Information Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago