Xiaoyi Zhan
Papers
2
Total Citations
12
H-Index
2
About
Xiaoyi Zhan is a dedicated researcher in the field of robotics and intelligent control, with a primary focus on path planning and optimization algorithms for mobile and service robots. Their work centers on enhancing the autonomy and efficiency of robotic navigation through the application of advanced computational methods. Zhan’s major contributions include the development of an improved genetic algorithm for humanoid robot path planning, which addresses complex, dynamic environments to ensure accurate and efficient route generation. This foundational work, published in 2019, has garnered 9 citations, reflecting its relevance in the robotics community. More recently, Zhan advanced the field by proposing an improved particle swarm optimization algorithm for service robots, published in 2023, which has already attracted 3 citations. This research tackles the critical challenge of enabling service robots to navigate real-world settings reliably, directly supporting the growing integration of robots into daily life. Zhan’s work is notable for its practical focus on solving core navigation problems, making significant strides toward more intelligent and capable robotic systems that can seamlessly assist humans in various tasks.
Research Focus
Key Achievements
Top Papers
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- 2