N Najva
Papers
1
Total Citations
3
H-Index
1
About
N Najva is a researcher specializing in intelligent control systems, neural networks, and robotics. Their most cited work, "Model reference controller approach for robot arm tracking using neural networks" (2019), introduces a novel neural network-based model reference controller (MRC) for precise robot arm trajectory tracking. This study employs two neural networks—a reference model and a controller—to enhance tracking accuracy and adaptability, demonstrating a significant contribution to the field of adaptive control. With 3 citations, this paper has laid groundwork for further exploration in neural network-driven robotics. Najva’s research addresses critical challenges in automation, offering solutions that improve the efficiency and reliability of robotic systems. Their work is particularly valuable for students and researchers in control engineering and robotics, providing a foundation for developing smarter, more responsive robotic arms. By integrating neural networks with model reference control, Najva has advanced the capability of robots to perform complex tasks with greater precision, marking a notable achievement in the intersection of artificial intelligence and mechanical systems.
Research Focus
Key Achievements
Top Papers
- 1