Mingyang Chen
Papers
1
Total Citations
3
H-Index
1
About
Mingyang Chen is a researcher at the forefront of multi-robot systems and maritime operations, with a focus on multi-objective optimization and Internet-of-Things (IoT) integration. Their most-cited work, "A Similarity Evaluation Framework for Multiobjective Multirobot Maritime Patrolling" (2025, 3 citations), introduces a novel mask-based similarity evaluation framework that enhances population diversity during evolutionary optimization. This contribution addresses a critical gap in existing benchmarks by accounting for the unique characteristics of IoT-enabled multi-robot maritime patrolling problems, such as dynamic environments and communication constraints. Chen’s work advances the practical deployment of autonomous fleets for surveillance, search-and-rescue, and environmental monitoring in complex maritime settings. By improving diversity in multi-objective optimization, their research enables more robust and efficient coordination among patrolling robots. Though early in their career, Chen’s targeted approach to real-world IoT-robotics challenges signals a promising trajectory in autonomous systems. Their work is particularly valuable for researchers developing scalable, adaptive solutions for maritime security and logistics, where multi-robot teams must balance competing objectives under uncertain conditions.
Research Focus
Key Achievements
Top Papers
- 1