Cheng Yao Ho

Papers

Total Citations

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About

Cheng Yao Ho is a researcher specializing in mobile robotics and autonomous systems, with a particular focus on probabilistic localization methods. His most recognized contribution lies in advancing particle filter algorithms for mobile robot localization, where he demonstrated innovative integration of tournament selection strategies and Nelder-Mead simplex search optimization to significantly enhance localization accuracy and computational efficiency. This work, published in 2011 and recognized with a research award grant (100學年度研究獎補助論文), reflects his commitment to bridging theoretical optimization techniques with practical robotics applications. By combining evolutionary selection mechanisms with direct search methods, Ho's approach addresses common limitations of standard particle filters, such as sample impoverishment and convergence inefficiency, offering more robust pose estimation in dynamic environments. With 8 citations, his work has contributed to the growing body of literature on intelligent localization frameworks, influencing researchers exploring hybrid metaheuristic approaches in robot navigation. His research represents a meaningful step forward in making autonomous mobile systems more reliable and adaptable in real-world settings, appealing to both academic roboticists and engineers developing next-generation autonomous platforms.