Monika Gupta
Papers
1
Total Citations
7
H-Index
1
About
Monika Gupta is a robotics and control systems researcher whose work bridges classical engineering with artificial intelligence. Her most-cited paper, "A comparative study of PID and neuro-fuzzy based control schemes for a 6-DoF robotic arm" (2018, 7 citations), establishes her expertise in intelligent control for robotic manipulators. By benchmarking traditional PID controllers against neuro-fuzzy approaches on a six-degree-of-freedom arm—a standard testbed in robotics—Gupta provides critical insights into how AI-driven techniques can outperform conventional methods in precision and adaptability. Her research addresses the growing demand for smarter, more autonomous robotic systems, particularly in industrial and service applications. Though early in her career, her work signals a significant contribution to the field, offering a practical framework for engineers seeking to integrate neural and fuzzy logic into real-world control systems. Gupta’s focus on comparative analysis helps demystify the trade-offs between classical and intelligent control, making her research valuable for both students learning control theory and researchers developing next-generation robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1