Zhichao Xiong

Papers

Total Citations

H-Index

About

Zhichao Xiong’s research centers on modular design and optimization in robotics, with a particular focus on explosive ordnance disposal (EOD) robots. His major contribution lies in developing a modular design method that leverages genetic algorithms to enhance the flexibility, efficiency, and adaptability of EOD robot systems. By applying evolutionary computation to product architecture, Xiong addresses the challenge of creating robots that can be rapidly reconfigured for diverse hazardous environments, reducing design complexity and manufacturing costs. His most cited work, “Modular design method of EOD robot based on genetic algorithm” (2018), has accumulated 3 citations, reflecting its relevance in the fields of robotics and industrial design. This research aligns with broader trends in manufacturing, where modularity is increasingly recognized as a key strategy for product variety and customization. Xiong’s work contributes to the growing body of knowledge on applying computational intelligence to mechanical design, offering practical insights for engineers and researchers working on specialized robotic systems. His achievements highlight the intersection of algorithm-driven optimization and real-world robotic applications, making his research valuable for students and professionals interested in modular robotics, genetic algorithms, and defense technology.