Zhai Haichuan
Papers
2
Total Citations
15
H-Index
2
About
Zhai Haichuan is a researcher whose work lies at the intersection of robotics, control theory, and swarm intelligence, with a particular focus on bio-inspired multi-agent systems. His primary research area is the formation control of multiple robot fish, where he has made notable contributions by integrating artificial potential fields with the leader-follower framework. This hybrid approach addresses a critical limitation in traditional leader-follower models—collision avoidance—by enabling decentralized, reactive coordination among robotic agents. In his most cited work (2013, 12 citations), Zhai demonstrates how artificial potential fields can guide robot fish formations while preventing inter-agent collisions, a key challenge in underwater swarm robotics. He further refines this in a related study (2013, 3 citations) by introducing a fuzzy feedback mechanism to improve the relative autonomy of followers and mitigate the "laggard" problem, where slower agents disrupt formation coherence. Though his citation counts are modest, Zhai’s contributions are foundational for researchers exploring robust, adaptive control in constrained aquatic environments. His work is particularly valuable for students and engineers designing multi-robot systems for environmental monitoring, search-and-rescue, or underwater exploration, where reliable formation maintenance is critical.
Research Focus
Key Achievements
Top Papers
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