Jiahuang Zhang
Papers
1
Total Citations
4
H-Index
1
About
Jiahuang Zhang is a researcher focused on the intersection of robotics, swarm intelligence, and energy-efficient control systems. His most cited work, “Energy Consumption Optimization for the Formation of Multiple Robotic Fishes Using Particle Swarm Optimization” (2018), addresses a critical challenge in multi-agent robotics: balancing formation control with energy conservation. By integrating particle swarm optimization into the leader-follower algorithm, Zhang developed a method that not only enables coordinated movement among robotic fish but also significantly reduces energy expenditure during formation. This contribution is vital for extending the operational lifespan of autonomous underwater vehicles and swarm robotics in real-world applications. Though his citation count is currently modest, the work lays a strong foundation for future research in bio-inspired robotics and sustainable autonomous systems. Zhang’s research is particularly relevant for students and engineers exploring optimization techniques in multi-robot coordination, offering a practical framework for reducing energy costs without sacrificing performance. His approach exemplifies how evolutionary algorithms can solve complex, real-world engineering problems, making his work a valuable reference for advancing energy-aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1