Pengyao Gong

The University of Texas at Dallas

Papers

1

Total Citations

34

H-Index

1

About

Pengyao Gong is a rising leader in bioinspired soft robotics, with a focused expertise in the design, fabrication, and locomotion analysis of soft underwater robots. His most-cited work, "Jelly-Z," introduces a jellyfish-inspired soft robot actuated by twisted and coiled polymer (TCP) artificial muscles. This research represents a significant contribution to the field by demonstrating how TCP actuators—lightweight, low-cost, and compliant—can effectively mimic the pulsed-jet propulsion of biological jellyfish. Gong’s work directly addresses the challenge of creating untethered, silent, and environmentally benign robots for aquatic monitoring and exploration. By providing a detailed analysis of swimming performance, including thrust and efficiency metrics, his study offers a foundational blueprint for future soft robotic designs. With 34 citations since its 2023 publication, "Jelly-Z" has already garnered attention for its practical approach to actuator integration and its potential to replace traditional rigid underwater vehicles. Gong’s research sits at the intersection of materials science, biomechanics, and robotics, paving the way for a new generation of soft, animal-like robots capable of navigating sensitive marine ecosystems without disruption.

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
Content generated · 13 days ago