Maoqing Li
Papers
3
Total Citations
7
H-Index
2
About
Maoqing Li’s research focuses on multi-robot coordination, role assignment, and optimal visibility coverage for autonomous systems in complex environments. His early work introduced a novel strategy for heterogeneous robot role assignment using fuzzy evaluation and fuzzy inference, demonstrated in the RoboCup simulation environment—a key platform for multi-robot coordination research. This contribution laid groundwork for adaptive team formation in dynamic, multi-agent settings. Li’s later studies tackled the challenge of optimal pyramid visibility coverage for autonomous robots in 3D environments, addressing how inspection robots equipped with range sensors can achieve complete visual coverage of a region with minimal scans. By modeling the sensor’s pyramid-shaped visible range with limited distance and angle, his work advanced practical solutions for robotic inspection and surveillance tasks. While his citation counts (3 and 2 for his most-cited papers) reflect a niche but focused impact, Li’s contributions are notable for bridging theoretical optimization with real-world robotic applications, particularly in heterogeneous team coordination and 3D environmental perception. His research remains relevant for students and engineers working on multi-robot systems, sensor planning, and autonomous inspection.
Research Focus
Key Achievements
Top Papers
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- 3