Yiyin Ding
Papers
1
Total Citations
5
H-Index
1
About
Yiyin Ding is a researcher in multi-robot systems and formation control, with a focus on improving coordination and stability in autonomous robotic swarms. Their most cited work, "A Multi-robot Formation Control Method Based on an Improved Leader-Following Algorithm" (2019), addresses a fundamental challenge in robotics: enabling multiple robots to maintain precise formations while adapting to dynamic environments. By refining the classic leader-following approach, Ding introduced enhancements that reduce tracking errors and improve robustness against communication delays—critical for applications in search-and-rescue, environmental monitoring, and industrial automation. Though their citation count is modest, this work has laid groundwork for subsequent studies in decentralized control and scalability. Ding’s contributions are particularly valuable for students and researchers exploring practical implementations of swarm intelligence, as the improved algorithm balances computational efficiency with real-time adaptability. Their research underscores the importance of incremental innovation in robotics, where even small algorithmic tweaks can yield significant gains in multi-agent coordination.
Research Focus
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Top Papers
- 1