Runwen Zhu

Papers

Total Citations

H-Index

About

Dr. Runwen Zhu is a researcher in bio-inspired robotics and multi-agent systems, with a focus on swarm intelligence and path planning under adversarial conditions. Their work bridges biological principles and engineering solutions, particularly in environments where robots must operate with limited sensory information. In their 2022 paper, "Bio-inspired robot swarm path formation with local sensor scope," Dr. Zhu introduced a decentralized approach to swarm coordination, enabling robots to form adaptive paths using only local data—a critical advance for real-world deployments where global communication is unavailable. Their 2021 study, "Solving a Multi-robot Search Problem with Bionic Sarsa Algorithm and Artificial Potential Field," tackled the complex challenge of safe path planning for multiple combat vehicles navigating trap-laden terrains. By integrating reinforcement learning with artificial potential fields, they developed a method that balances exploration and hazard avoidance, directly applicable to cooperative reconnaissance missions. Though early in their career, with each paper garnering 2 citations, Dr. Zhu’s work lays a strong foundation for future research in autonomous swarm navigation, demonstrating how bionic algorithms can enhance robustness in hostile environments.