Papers
9
Total Citations
150
H-Index
5
About
Mingyang Guan is a leading researcher in multi-robot systems, autonomous navigation, and sensor fusion, with a particular focus on integrating Ultra-Wideband (UWB) technology with LiDAR for robust localization and mapping. His most impactful contribution is the development of UWB/LiDAR fusion for cooperative range-only SLAM, a seminal work published in 2019 that has garnered 96 citations. This research addresses critical challenges in unknown environments by enabling peer-to-peer ranging among UWB nodes, effectively creating a cooperative sensor network that mitigates LiDAR's susceptibility to error accumulation. Guan has also made significant advances in formation control and leader-following for nonholonomic mobile robots, developing adaptive control strategies and probabilistic trajectory estimation methods that maintain accurate tracking even during vision detection outages. His work on the Dynamic Window Approach with Collision Suppression Cone (DWA-CSC) provides innovative solutions for avoiding moving obstacles in dynamic environments. With over 150 total citations across his publications, Guan's research bridges theoretical control theory with practical robotic applications, offering essential frameworks for autonomous exploration, multi-robot coordination, and safe navigation in complex, real-world settings.
Research Focus
Key Achievements
Top Papers
- 1UWB/LiDAR Fusion For Cooperative Range-Only SLAM96 citations · 2019
- 2Autonomous exploration using UWB and LiDAR16 citations · 2023
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- 8Image-based visual tracking adaptive control for mobile robots3 citations · 2016
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