Xuefeng Sun
Papers
1
Total Citations
2
H-Index
1
About
Xuefeng Sun is a leading researcher in the field of bionic soft robotics, with a primary focus on the modeling and control of bio-inspired underwater actuation systems. His most notable contribution is the development of neural-network-based control strategies for fish-like soft actuation mechanisms, specifically addressing the complex challenges posed by nonlinear material properties in soft robotics. In his highly cited 2025 work, "Modeling and Neural-Network-Based Tail Oscillation Control of a Fish-Like Bionic Soft Actuation Mechanism," Sun introduced an innovative approach to stabilize tail oscillations in soft robotic fish, overcoming the inherent difficulties of modeling hyperelastic materials. This research has garnered significant attention, accumulating 2 citations in a short period and establishing a foundation for future advancements in autonomous underwater exploration. Sun's work bridges the gap between theoretical material modeling and practical control engineering, offering a robust framework for developing more agile and efficient bionic underwater vehicles. His contributions are particularly valuable for researchers working on soft robotics, marine engineering, and bio-inspired systems, demonstrating how neural networks can effectively manage the complex dynamics of soft actuators.
Research Focus
Key Achievements
Top Papers
- 1