Ouyang Ji

National University of Defense Technology

Papers

Total Citations

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About

Ouyang Ji is a leading researcher in swarm robotics and bio-inspired control systems, with a focus on gene regulatory networks (GRNs) for multirobot coordination. Their work addresses fundamental challenges in distributed robotics, including target hunting, self-organization, and navigation in GPS-denied environments. Ji’s most-cited paper, "Adaptive Cooperative Gene Regulatory Network Optimized by Elastic Deformation Algorithm for Multirobot Hunting" (2023, 7 citations), introduces a novel approach to improve collaboration and reduce communication overhead in multirobot systems. Another key contribution, "SUNDER: Self-organized grouping and entrapping method for swarms in multitarget environments" (2023, 6 citations), presents a decentralized algorithm that enables swarm robots to autonomously form trapping patterns without global information—critical for outdoor operations. Ji’s earlier work, "Online Planning-based Gene Regulatory Network for Swarm in Constrained Environment" (2021, 2 citations), advances real-time adaptability in constrained settings. By integrating elastic deformation and online planning with GRNs, Ji has pioneered scalable, robust solutions for complex multirobot tasks, earning recognition for pushing the boundaries of self-organized swarm intelligence. Their research continues to inspire new directions in autonomous collective systems.