Yijiang Zheng
Papers
2
Total Citations
15
H-Index
1
About
Yijiang Zheng is a rising researcher in multi-robot systems, specializing in path planning, task scheduling, and collision-free coordination for complex, unstructured environments. Their work addresses critical challenges in deploying multiple robots in non-flat terrains and agricultural settings, where traditional algorithms struggle with high path costs, imbalanced task loads, and unstable convergence. Zheng’s most-cited paper (2025, 14 citations) introduces a cross-area scheduling and conflict-free path planning framework for non-flat environments, significantly advancing the feasibility of multi-robot operations in real-world, uneven landscapes. Their subsequent work (2025) proposes a novel balanced scheduling method that integrates Enhanced Jump Point Search (EJPS) with a Multi-Stage Collaborative Optimized Salp Swarm Algorithm, effectively tackling task allocation and path optimization in unstructured farmland. This approach demonstrates a notable improvement in both computational efficiency and solution quality. With a growing citation record and a focus on practical, high-impact applications like precision agriculture, Zheng is establishing a reputation for bridging theoretical optimization with deployable robotic solutions. Their contributions are particularly valuable for researchers and engineers working on scalable, autonomous multi-robot systems in challenging environments.
Research Focus
Key Achievements
Top Papers
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- 2