Peizheng Chen

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About

Peizheng Chen is a rising researcher in the field of bio-inspired robotics, with a primary focus on the design and optimization of bionic robotic fish. His most cited work, "Design and multi parameter performance optimization of the bionic robotic fish driven by tail fin" (2024, 8 citations), represents a significant contribution to the development of efficient, biologically-inspired underwater propulsion systems. In this study, Chen systematically investigates how variations in tail fin parameters—such as stiffness, shape, and oscillation frequency—affect swimming speed and energy efficiency, providing a robust optimization framework for future robotic fish designs. This work bridges the gap between biological locomotion principles and practical engineering applications, offering valuable insights for autonomous underwater vehicles used in environmental monitoring, search-and-rescue, and marine biology. While still early in his career, Chen’s research demonstrates a strong interdisciplinary approach, combining fluid dynamics, mechanical design, and control theory. His findings have immediate relevance for researchers seeking to improve the maneuverability and endurance of aquatic robots, and his methodological rigor sets a benchmark for parametric optimization in soft robotics. As the field of bio-inspired robotics continues to expand, Chen’s contributions are poised to influence both academic research and real-world underwater technologies.