Yaqing Jin

The University of Texas at Dallas

Papers

1

Total Citations

34

H-Index

1

About

Yaqing Jin is a leading researcher in bioinspired soft robotics, with a focus on underwater locomotion and smart actuator systems. Their most-cited work, "Jelly-Z: swimming performance and analysis of twisted and coiled polymer (TCP) actuated jellyfish soft robot" (2023, 34 citations), introduces a novel soft robot that mimics jellyfish propulsion using twisted and coiled polymer actuators. This contribution addresses a critical challenge in marine exploration: designing silent, environmentally friendly robots capable of monitoring over 70% of Earth’s water-covered surface without disturbing natural habitats. By replacing traditional rigid components with soft, compliant materials, Jin’s research advances the efficiency and biomimicry of underwater robots, offering a pathway toward more adaptive and sustainable ocean monitoring tools. Their work bridges materials science, mechanical engineering, and marine biology, demonstrating how soft actuators can replicate complex biological movements. Jin’s achievements highlight the potential of bioinspired design to revolutionize environmental sensing and exploration, making their research highly relevant for students and engineers interested in soft robotics, biomimetics, and sustainable technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
34
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Jelly-Z: swimming performance and analysis of twisted and coiled polymer (TCP) actuated jellyfish soft robot
34 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: The University of Texas at Dallas

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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