Ziqing Zhao
Papers
1
Total Citations
23
H-Index
1
About
Ziqing Zhao is a researcher in bio-inspired robotics, with a primary focus on the design and control of robotic fish for efficient underwater propulsion. Their most-cited work, "A Stiffness Adjustment Mechanism Based on Negative Work for High-efficient Propulsion of Robotic Fish" (2018, 23 citations), introduces a novel approach to enhancing swimming efficiency by dynamically adjusting body stiffness—a concept inspired by biological mechanisms that reduce energy loss during motion. This contribution addresses a critical challenge in soft robotics: balancing flexibility and power output. By leveraging negative work principles, Zhao’s mechanism allows robotic fish to achieve higher thrust with lower energy consumption, advancing the field of autonomous underwater vehicles. While their citation count is modest, the work’s novelty in stiffness modulation has garnered attention from researchers exploring efficient locomotion in unstructured environments. Zhao’s research bridges mechanical design and biological inspiration, offering practical insights for developing more agile and enduring underwater robots. Their work stands as a foundational step toward energy-efficient, adaptive robotic systems, particularly valuable for environmental monitoring and marine exploration.
Research Focus
Key Achievements
Top Papers
- 1