Papers
2
Total Citations
49
H-Index
2
About
Xiaoqi Zhou is a leading researcher in amphibious robotics, with a primary focus on bio-inspired locomotion, path planning, and gait control for robotic fish. Zhou’s major contributions include pioneering improvements to the Artificial Potential Field (APF) method, effectively solving the persistent problems of “local minima” and “unreachable targets” in complex aquatic environments. This work, published in 2021, has garnered 47 citations, reflecting its significant impact on autonomous navigation for amphibious systems. Additionally, Zhou has advanced Central Pattern Generator (CPG) models, designing Hopf oscillator-based controllers that enable adaptive, multi-modal gaits for robotic fish transitioning between water and land. This research, though newer with 2 citations, lays critical groundwork for robust, real-time locomotion in unpredictable environments. Zhou’s work is notable for its practical engineering solutions, bridging theoretical control methods with real-world robotic applications. By addressing fundamental challenges in both navigation and motion generation, Zhou has established a strong foundation for future autonomous amphibious robots, making their research essential reading for students and engineers in robotics, control systems, and biomimetic engineering.
Research Focus
Key Achievements
Top Papers
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