Zhaohui An
Papers
1
Total Citations
11
H-Index
1
About
Zhaohui An is a leading researcher in multi-robot systems and intelligent automation, with a particular focus on path planning for chemical laboratory environments. Their most-cited work, "Based on the Integration of the Improved A* Algorithm with the Dynamic Window Approach for Multi-Robot Path Planning" (2025, 11 citations), addresses the growing need for efficient automation in chemical labs by proposing a novel hybrid algorithm that combines an enhanced A* algorithm with the Dynamic Window Approach. This integration enables multiple robots to navigate complex, dynamic environments while avoiding collisions and optimizing reagent transport routes. An's contributions are pivotal in advancing the practical deployment of multi-robot systems in real-world laboratory settings, where precision and adaptability are critical. By tackling the challenges of coordination and real-time obstacle avoidance, their work has laid a foundation for safer, more efficient laboratory automation. With 11 citations in a short time, An's research is gaining recognition for its innovative approach to merging global and local path planning strategies, marking them as an emerging authority in robotics and automation for scientific workflows.
Research Focus
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Top Papers
- 1