Aiswarya P.G.
Papers
1
Total Citations
7
H-Index
1
About
Aiswarya P.G. is a researcher in robotics and intelligent control systems, with a focus on enhancing the precision and adaptability of robotic manipulators. Her most-cited work, a comparative study of PID and neuro-fuzzy control schemes for a 6-DoF robotic arm (2018, 7 citations), addresses a fundamental challenge in robotics: improving the performance of benchmark manipulators through advanced artificial intelligence. By systematically evaluating traditional and intelligent control techniques, she demonstrates how neuro-fuzzy approaches can outperform conventional PID controllers, offering greater robustness and adaptability in dynamic environments. This contribution is particularly valuable for researchers and engineers working on autonomous systems, where precise and flexible control is critical. Aiswarya’s work bridges classical control theory and modern AI, providing a practical framework for integrating intelligent algorithms into real-world robotic applications. Her research not only advances the field of robotic control but also serves as a foundational reference for students and practitioners exploring the intersection of AI and mechatronics.
Research Focus
Key Achievements
Top Papers
- 1