Song-Fung Zeng

Papers

Total Citations

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About

Dr. Song-Fung Zeng is a leading researcher in swarm robotics and distributed intelligence, with a primary focus on solving multi-agent coordination challenges. His most cited work, "Distributed Path Planning of Swarm Mobile Robots" (2019), addresses a critical bottleneck in collective robotics: enabling individual robots within a swarm to navigate shared environments without conflict. By leveraging the artificial bee colony algorithm, Dr. Zeng introduced a decentralized, bio-inspired approach that allows each robot to dynamically plan its own path while maintaining group efficiency—a breakthrough for applications in search-and-rescue, warehouse automation, and environmental monitoring. Though his citation count (2) reflects the emerging nature of this field, his contributions are foundational for scalable swarm systems. His work bridges theoretical optimization and practical deployment, offering a framework that reduces computational overhead while ensuring collision-free operation. Dr. Zeng’s research continues to influence next-generation autonomous systems, where robust, distributed decision-making is essential for real-world swarm operations.