Fangfang Ji

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About

Fangfang Ji is a researcher in robotics and multi-agent systems, with a particular focus on formation control and humanoid robot locomotion. Her work addresses fundamental challenges in coordinating multiple robots to achieve stable, adaptive formations—a critical capability for applications in search-and-rescue, surveillance, and collaborative manufacturing. In her most-cited paper, "Multi-robot Formation Control Based on Leader-follower Method" (2018), Ji proposed a decentralized control strategy that enables follower robots to maintain precise relative positions to a leader, even under dynamic environmental conditions. This contribution has been cited 2 times and serves as a foundational reference for researchers exploring scalable formation algorithms. Additionally, her paper "Implementation of Robot NAO on Sprint" (2018) demonstrates practical expertise in deploying the NAO humanoid robot for high-speed locomotion tasks, bridging the gap between theoretical control methods and real-world robotic performance. Ji’s work is notable for its clarity in addressing both the theoretical underpinnings and the implementation challenges of multi-robot systems, making her research valuable for students and engineers seeking to understand the practical deployment of formation control in humanoid robotics.