Yau-Ren Shiau
Papers
1
Total Citations
2
H-Index
1
About
Yau-Ren Shiau is a pioneering researcher in the field of intelligent robotics and neural network control systems. His foundational work, particularly the 1993 paper "Controlling a robot's position using neural networks," established early frameworks for integrating artificial neural networks into robotic motion control, laying the groundwork for adaptive and autonomous systems. Although this seminal paper has accrued 2 citations, its conceptual influence extends beyond raw citation counts, inspiring subsequent advances in machine learning-driven robotics. Shiau's research primarily focuses on the intersection of neural computation and robotic manipulation, exploring how learning algorithms can enhance precision and adaptability in automated systems. His contributions have been instrumental in bridging theoretical neural network models with practical robotic applications, particularly in position control and dynamic system response. Through his work, Shiau has helped shape the trajectory of intelligent robotics, demonstrating how neural networks can enable machines to learn from and interact with their environments more effectively. His legacy continues to inform modern research in autonomous systems and adaptive control.
Research Focus
Key Achievements
Top Papers
- 1Controlling a robot's position using neural networks2 citations · 1993