Wang Hong-bin
Papers
2
Total Citations
39
H-Index
2
About
Dr. Wang Hong-bin has made significant contributions to the field of intelligent robotics, with a primary focus on robotic control systems and autonomous navigation. His research integrates advanced computational techniques to enhance robot perception and decision-making. Notably, his 2012 work on "Design of robotic visual servo control based on neural network and genetic algorithm" (23 citations) pioneered a hybrid approach that combines neural network learning with evolutionary optimization, enabling robots to adaptively track and manipulate objects in dynamic environments. This foundational work has influenced subsequent studies in adaptive visual servoing. Dr. Wang further advanced mobile robotics through his 2019 study on "Path Planning of Mobile Robots Based on A* Algorithm and Artificial Potential Field Algorithm" (16 citations), where he synergized two classic pathfinding methods to achieve smoother, collision-free navigation in complex settings. His contributions are particularly valued for bridging theoretical algorithms with practical robotic applications, demonstrating how neural networks and genetic algorithms can overcome traditional control limitations. With a growing citation impact, Dr. Wang's research continues to guide engineers and researchers seeking robust, real-time solutions for autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2