Zheyu Zhang
Papers
2
Total Citations
13
H-Index
2
About
Zheyu Zhang is a rising researcher in autonomous robotics, specializing in motion planning and scheduling under real-world constraints. His work addresses critical challenges in logistics and field robotics, where efficiency and energy conservation are paramount. In his highly cited 2025 paper, "Optimized Path Planning for Logistics Robots Using Ant Colony Algorithm Under Multiple Constraints," Zhang tackles the complexity of logistics vehicle routing by integrating time windows, task sequencing, and motion smoothness—outperforming traditional methods that struggle to balance these competing demands. This work has already garnered 8 citations, signaling its immediate relevance to the logistics automation community. Zhang further advances the field with "Energy-Constrained Motion Planning and Scheduling for Autonomous Robots in Complex Environments," which proposes novel strategies for minimizing energy consumption while ensuring mission success in dynamic settings. With 5 citations, this paper underscores his focus on sustainability in autonomous systems. Together, these contributions establish Zhang as a key voice in developing practical, constraint-aware algorithms for next-generation autonomous robots, bridging the gap between theoretical optimization and real-world deployment. His research is essential reading for students and engineers working on efficient, adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2