Zheming Tian
Papers
1
Total Citations
2
H-Index
1
About
Zheming Tian is a researcher specializing in multi-agent systems, autonomous robotics, and cooperative control. His work focuses on the coordination and formation control of multiple robots, addressing the critical challenge of enabling autonomous agents to dynamically adjust their positions, velocities, and interactions in real-time. In his notable 2022 paper, "Cooperative Following of Multiple Autonomous Robots Based on Consensus Estimation," Tian proposes a consensus-based estimation framework that allows robots to maintain stable formations while responding to environmental changes and each other's movements. This contribution is essential for applications in search-and-rescue, warehouse automation, and swarm robotics. Though early in his career, with his most-cited work accumulating 2 citations, Tian's research lays a strong foundation for scalable, decentralized multi-robot coordination. His work is particularly valuable for students and researchers interested in the intersection of control theory, estimation algorithms, and practical robotics. By emphasizing dynamic relationship management among agents, Tian is helping to advance the next generation of intelligent, cooperative autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1