R. Nayana
Papers
1
Total Citations
3
H-Index
1
About
R. Nayana is a researcher specializing in robotics, automation, and embedded systems, with a focus on integrating machine learning for industrial applications. Her most-cited work, "Design and implementation of robot assisted arduino based object recognition and sorting" (2023), introduces an automatic material handling system that coordinates a robotic arm to pick and sort items from conveyor belts. By combining advanced sensors with machine learning algorithms, this system achieves precise object manipulation, significantly improving automation efficiency. With 3 citations, this paper highlights her contribution to affordable, scalable robotics solutions. Nayana’s research bridges hardware and software, demonstrating practical implementations of Arduino-based platforms for real-world sorting tasks. Her work is particularly notable for its potential to enhance manufacturing and logistics through cost-effective automation. As a researcher, she continues to explore the intersection of robotics and intelligent systems, aiming to make automation accessible and efficient for diverse industries.
Research Focus
Key Achievements
Top Papers
- 1