Xiaobo Tan
Papers
2
Total Citations
450
H-Index
2
About
Xiaobo Tan is a pioneering researcher in the intersection of smart materials, bio-inspired robotics, and underwater systems. His major contributions center on the modeling and control of ionic polymer–metal composite (IPMC) actuators for biomimetic robotic fish. His most cited work, "Modeling of Biomimetic Robotic Fish Propelled by An Ionic Polymer–Metal Composite Caudal Fin" (2009, 437 citations), introduced a physics-based model that captures the complex electro-mechanical-hydrodynamic coupling of IPMC-driven propulsion, laying the foundation for soft, silent underwater vehicles. This work is widely recognized for bridging material science with practical robotic design. Tan further advanced the field with "Control-oriented averaging of tail-actuated robotic fish dynamics" (2013), which developed efficient control strategies using averaged dynamics from Lighthill’s elongated-body theory, enabling more precise and energy-efficient swimming. His research has profound implications for environmental monitoring, aquatic exploration, and medical devices. With hundreds of citations, Tan’s work is a cornerstone in bio-robotics, inspiring students and researchers to explore the synergy between smart materials and nature-inspired locomotion.
Research Focus
Key Achievements
Top Papers
- 1
- 2Control-oriented averaging of tail-actuated robotic fish dynamics13 citations · 2013