Fu
Papers
3
Total Citations
7
H-Index
2
About
Fu’s research centers on robotics and control systems, with a particular focus on visual servo stabilization and locomotion strategies for mobile and biomimetic robots. His major contributions include the development of a predictive control framework for nonholonomic mobile robots, which addresses critical challenges such as visibility constraints and actuator limitations—factors often overlooked in prior work. This approach, detailed in his most-cited paper (2013, 3 citations), integrates kinematic and dynamic predictive controllers to achieve asymptotic velocity tracking, enabling robust visual servo stabilization in real-world applications. Fu’s work also extends to hexapod and multi-legged robots, where he has pioneered free gait generation methods for omnidirectional locomotion on irregular and abrupt terrain, as demonstrated in his studies on the HITCR-I platform (2013, 2 citations) and biomimetic systems (2011, 2 citations). These contributions are notable for their practical impact on autonomous navigation in challenging environments, bridging theoretical control design with real-world robotic performance. While his citation counts reflect a focused, emerging influence, Fu’s innovations in predictive control and gait generation offer valuable insights for students and researchers advancing mobile robotics and adaptive locomotion systems.
Research Focus
Key Achievements
Top Papers
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