Baowei Song
Papers
1
Total Citations
16
H-Index
1
About
Baowei Song is a leading researcher in bio-inspired robotics, with a primary focus on underwater robotic systems that emulate the agile locomotion of marine life. His key research areas include rigid-flexible coupling dynamics, biomimetic design, and the development of robotic manta rays propelled by flexible pectoral fins. Song’s major contribution lies in creating a comprehensive dynamic model that bridges the gap between rigid body mechanics and flexible fin deformation, enabling more efficient and maneuverable underwater robots. This work, detailed in his highly cited 2024 paper “A Rigid-Flexible Coupling Dynamic Model for Robotic Manta with Flexible Pectoral Fins” (16 citations), provides a foundational framework for optimizing fin kinematics and thrust generation. By integrating structural flexibility with control algorithms, Song’s research advances the practical deployment of soft-bodied robots in complex aquatic environments. His achievements include pioneering modeling techniques that enhance stability and agility, with potential applications in ocean exploration, environmental monitoring, and defense. Song’s work continues to inspire new generations of engineers and roboticists, demonstrating how nature’s designs can solve real-world engineering challenges.
Research Focus
Key Achievements
Top Papers
- 1