Puqiang Zhu
Papers
1
Total Citations
2
H-Index
1
About
Puqiang Zhu is a researcher in bionic robotics, with a primary focus on locomotion control for amphibious robotic systems. His work centers on the application of Central Pattern Generators (CPGs)—neural-inspired models that enable adaptive, rhythmic movement in robots navigating complex environments. Zhu’s most cited contribution, "Central Pattern Generator Model Design and Gait Control Research of Amphibious Robotic Fish" (2021), introduces a Hopf oscillator-based CPG architecture that coordinates ipsilateral and contralateral fin movements, allowing robotic fish to seamlessly transition between swimming and terrestrial gaits. This design addresses a key challenge in amphibious robotics: maintaining stability and efficiency across drastically different media. While his citation count is still growing, Zhu’s research is notable for its practical integration of biological principles into engineering solutions, offering a robust framework for future autonomous systems. His work has implications for environmental monitoring, search-and-rescue missions, and underwater exploration, highlighting his potential to influence the next generation of adaptive, multi-terrain robots.
Research Focus
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Top Papers
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