Lixuan Tang
Papers
2
Total Citations
25
H-Index
2
About
Lixuan Tang is a robotics researcher whose work bridges environmental monitoring and assistive technology through innovative multi-robot coordination. Their key research areas include gas distribution mapping, swarm robotics, and human-robot interaction. Tang’s most impactful contribution is their 2022 paper on clustering and informative path planning for 3D gas distribution mapping (22 citations), which addresses the critical challenge of rapidly constructing accurate gas maps to mitigate chemical threats to life and the environment. This work has significant implications for safety monitoring and disaster response. More recently, Tang has pioneered the use of velocity potential field modulation for dense coordination of polytopic swarms, applying this to assistive robotic furniture designed to support individuals with limited mobility. Their 2025 paper (3 citations) tackles the complex problem of achieving convergence in dense robot configurations, such as rearranging furniture in an apartment setting. This research demonstrates Tang’s ability to translate fundamental coordination algorithms into practical, life-enhancing applications. By combining rigorous algorithmic development with real-world deployment scenarios, Tang is advancing both the theory and practice of swarm robotics for environmental and social benefit.
Research Focus
Key Achievements
Top Papers
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- 2