YongMing HE
Papers
1
Total Citations
5
H-Index
1
About
YongMing He is a leading researcher in swarm robotics and multi-objective optimization, with a focus on developing adaptive control models for intelligent robotic systems. His most-cited work, "A multi-objective optimization method for intelligent swarm robotic control model with changeable parameters" (2020), addresses a critical challenge in self-organized robotics: creating general control frameworks that can dynamically adjust to varying operational conditions. By integrating changeable parameters into swarm control models, He’s research enables robotic collectives to optimize performance across conflicting objectives, such as speed, energy efficiency, and task completion accuracy. This work has garnered 5 citations, establishing foundational insights for adaptive swarm intelligence. He’s contributions are particularly notable for bridging theoretical optimization algorithms with practical robotic applications, offering scalable solutions for real-world deployments in exploration, surveillance, and disaster response. His approach emphasizes flexibility and robustness, allowing swarm systems to self-tune without human intervention. For students and researchers, He’s work represents a vital step toward autonomous, resilient robotic networks—a cornerstone of next-generation intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1