Luo Yu
Papers
1
Total Citations
4
H-Index
1
About
Luo Yu is a researcher in robotics and swarm intelligence, with a focus on bio-inspired systems and energy-efficient multi-agent coordination. Their most-cited work, "Energy Consumption Optimization for the Formation of Multiple Robotic Fishes Using Particle Swarm Optimization" (2018), addresses a critical gap in swarm robotics: while leader-follower formation algorithms enable collective movement, they often neglect energy efficiency. Luo Yu introduced an energy-optimized variant of the leader-follower algorithm, leveraging particle swarm optimization to minimize power consumption during formation control of robotic fish. This contribution has practical implications for autonomous underwater vehicles and environmental monitoring, where battery life is paramount. With 4 citations, the paper has laid groundwork for further studies in energy-aware swarm robotics. Luo Yu’s research bridges theoretical optimization and real-world robotic applications, demonstrating how nature-inspired algorithms can solve engineering challenges. Their work is particularly relevant for students and researchers interested in swarm intelligence, underwater robotics, and sustainable autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1