Mingyu Shen
Papers
3
Total Citations
11
H-Index
2
About
Mingyu Shen is a rising researcher in multi-robot systems, specializing in distributed formation control, rigid shape coordination, and time-varying optimization. Their work addresses fundamental challenges in enabling teams of mobile robots to autonomously form and maintain precise geometric configurations while navigating dynamic environments. In their most cited paper (2024, 8 citations), Shen proposed a novel distributed fixed-time control framework for leader-steered rigid shape formation with prescribed performance, leveraging rigid body kinematics to achieve both translational and rotational formation movements—a significant advance over consensus-based approaches. Their subsequent work (2024, 2 citations) introduced a vision-based output-feedback framework that integrates formation tracking models while respecting field-of-view constraints, resolving critical tradeoffs in real-world multi-robot coordination. Shen also contributed to optimization theory with a predefined-time gradient flow method (2024, 1 citation) for time-varying convex problems, demonstrated on wheeled mobile robot systems. Though early in their career, Shen’s work is already shaping the next generation of scalable, vision-guided, and performance-guaranteed multi-robot systems, with clear potential for applications in search-and-rescue, environmental monitoring, and autonomous manufacturing.
Research Focus
Key Achievements
Top Papers
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