Shi K. Lee
Papers
1
Total Citations
36
H-Index
1
About
Shi K. Lee is a pioneering figure in the intersection of neural networks and robotics, best known for his foundational work on intelligent kinematic control systems. His most cited paper, "Robot kinematic control based on bidirectional mapping neural network" (1990, 36 citations), introduced a novel approach that leverages a bidirectional mapping neural network (BMNN) to solve complex robot control problems. This work was groundbreaking for its time, combining a multilayer feedforward network with sinusoidal activation functions and a feedback loop to create a recurrent architecture capable of learning and generalizing inverse kinematic mappings. Lee’s contributions laid early groundwork for adaptive, learning-based control in robotics, influencing subsequent research in neural network-driven automation and intelligent systems. His research areas span neural computation, robotic kinematics, and control theory, with a focus on bridging biological inspiration and engineering application. Though his citation count reflects a niche but impactful audience, Lee’s work remains a touchstone for researchers exploring neural approaches to robotic manipulation and real-time control.
Research Focus
Key Achievements
Top Papers
- 1Robot kinematic control based on bidirectional mapping neural network36 citations · 1990