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About

Hongbo Ji is a researcher whose work lies at the intersection of robotics, intelligent control, and optimization. His primary contributions focus on applying genetic algorithms to enhance the autonomy and efficiency of mobile and multi-robot systems. In his highly cited work, "Intelligent control based on genetic algorithms-case study on mobile robot" (3 citations), Ji introduced a novel genetic strategy known as GASC (genetic algorithm with symmetric code), which converts complex robot dynamic control and path planning into an optimization problem. This approach is further refined in "Application of new genetic strategy to dynamic control of a mobile robot" (2 citations), where symmetric code theory is leveraged to achieve optimal dynamic control. Ji also made significant strides in multi-robot coordination with his study on "Real-time workspace modelisation for multi-robot system" (3 citations), where he developed the BlockInserting technique for rapid workspace modeling using vision system data. His work on "Real-time Path Planning for Intelligent Robots System Based on Vision Information" (2 citations) demonstrates his commitment to integrating vision-based feedback for real-time navigation. Though his citation counts are modest, Ji’s pioneering use of genetic algorithms in robotics has laid foundational groundwork for adaptive, intelligent control systems.