Xiao‐Zhi Gao
Papers
9
Total Citations
85
H-Index
7
About
Xiao-Zhi Gao is a leading researcher in the intersection of computational intelligence, robotics, and human-robot interaction (HRI). His work is defined by a focus on optimizing robotic systems for challenging real-world environments and developing novel applications for human benefit. A core contribution is the application of nature-inspired algorithms, such as the Harmony Search and Chicken Swarm Optimization, to solve complex engineering problems. This is exemplified by his work on reconfigurable mobile robots, where he pioneered the use of multi-objective optimization to enhance robot mobility on rough, sandy terrain, and his trajectory optimization for high-speed robotic arms to suppress motion jerk. Gao’s impact is also deeply felt in the emerging field of therapeutic robotics. He has proposed an immersive, deep learning-based HRI game framework for children’s concentration training, addressing critical bottlenecks in traditional therapy. His investigations into the impacts of human-robot proxemics on these games have laid crucial groundwork for integrating humanoid robots into therapeutic roles. With over 85 citations across his most prominent works, including his influential 2010 paper on Harmony Search optimization for reconfigurable robots, Gao’s research is shaping the future of both agile, resilient robots and socially assistive technologies.
Research Focus
Key Achievements
Top Papers
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- 2Advances in Computational Intelligence and Communication Technology15 citations · 2020
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