Jixing Ye

Papers

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About

Jixing Ye is a researcher in robotics and multi-agent systems, with a focus on formation control and humanoid robot locomotion. His work addresses fundamental challenges in coordinating multiple robots to achieve stable, adaptive formations, particularly through leader-follower methodologies. In his 2018 paper "Multi-robot Formation Control Based on Leader-follower Method," Ye proposed strategies for maintaining cohesive group behavior while allowing dynamic reconfiguration, a critical capability for applications in search-and-rescue, surveillance, and automated logistics. That same year, his study "Implementation of Robot NAO on Sprint" explored the practical deployment of the NAO humanoid robot in high-speed movement scenarios, bridging theoretical control algorithms with real-world hardware constraints. Although his citation counts are modest, Ye's contributions are valuable for their hands-on integration of control theory and robotics platforms, offering insights for students and researchers working on swarm robotics or humanoid motion planning. His work exemplifies the iterative process of testing and refining multi-robot coordination in experimental settings.