Yixiao Song
Papers
1
Total Citations
7
H-Index
1
About
Yixiao Song is a researcher in biomimetic robotics, with a primary focus on bio-inspired underwater vehicles and their maneuverability. His work centers on developing robotic platforms that emulate the locomotion of marine animals, particularly dolphins, to achieve agile and efficient movement in aquatic environments. Song’s major contributions include the design and modeling of a robotic dolphin capable of executing complex maneuvers such as C-turning, pitching, and flapping propulsion. In his most-cited study (2021, 7 citations), he proposed a maneuverability model tailored to the flapping motion of a three-dimensional robotic dolphin, addressing the challenges of realistic swimming actions in the ocean. This work lays the foundation for integrating environmental monitoring capabilities into biomimetic systems, enabling autonomous data collection in marine settings. Song’s research bridges the gap between biological locomotion principles and engineering design, offering practical solutions for underwater exploration and surveillance. His achievements highlight the potential of robotic dolphins to perform tasks in dynamic and unstructured aquatic environments, contributing to the broader field of soft and bio-inspired robotics.
Research Focus
Key Achievements
Top Papers
- 1