Xiao-Bing Yang
Papers
1
Total Citations
27
H-Index
1
About
Dr. Xiao-Bing Yang is a distinguished researcher in intelligent robotics and optimization algorithms, with a primary focus on autonomous navigation and path planning. His most impactful work centers on advancing particle swarm optimization (PSO) techniques to address critical challenges in mobile robot motion control. In his highly cited 2016 paper, Dr. Yang introduced two innovative PSO variants—nonlinear inertia weight PSO and simulated annealing PSO—that significantly enhance global search capabilities while overcoming the premature convergence limitations of traditional methods. This work, garnering 27 citations, has provided a foundational framework for improving autonomous robot path planning in complex environments. His contributions are particularly notable for bridging theoretical optimization with practical robotic applications, offering more efficient and reliable solutions for real-time navigation. Dr. Yang’s research continues to influence the development of adaptive, intelligent systems in robotics, and his algorithmic improvements are widely referenced in subsequent studies on swarm intelligence and autonomous vehicle control. His work stands as a key reference for researchers seeking robust, nature-inspired approaches to motion planning and optimization.
Research Focus
Key Achievements
Top Papers
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