Runjie Shi
Papers
1
Total Citations
5
H-Index
1
About
Runjie Shi is a researcher in robotics and control systems, with a focus on dynamic modeling and intelligent control for humanoid mechanisms. His most cited work introduces a novel fuzzy self-tuning disturbance decoupling controller (FSDDC) designed for a 3-DOF serial-parallel hybrid humanoid arm (HHA), aimed at improving trajectory-tracking accuracy during dynamic tasks like throwing. By establishing the arm’s dynamic model and analyzing input signals, Shi’s approach effectively decouples disturbances, enhancing stability and precision in complex motion sequences. This contribution, cited five times, demonstrates his expertise in integrating fuzzy logic with adaptive control to address real-world robotic challenges. Shi’s research bridges theoretical modeling and practical implementation, offering valuable insights for advancing humanoid robot dexterity and autonomy. His work underscores the potential of hybrid robotic architectures in achieving human-like performance, making it a notable reference for students and researchers exploring disturbance rejection and motion control in robotics.
Research Focus
Key Achievements
Top Papers
- 1