Ayushi Mallick
Papers
1
Total Citations
7
H-Index
1
About
Dr. Ayushi Mallick is a robotics and control systems researcher whose work bridges classical control theory with intelligent, AI-driven approaches. Her most cited study, "A comparative study of PID and neuro-fuzzy based control schemes for a 6-DoF robotic arm" (2018, 7 citations), tackles a foundational challenge in robotics: the precise control of multi-degree-of-freedom manipulators. By systematically comparing traditional PID controllers with neuro-fuzzy systems, she demonstrated how intelligent control techniques can enhance performance in benchmark robotic platforms. This work is particularly significant for students and researchers exploring the integration of artificial intelligence into real-world robotic applications. Dr. Mallick’s research contributes to the growing field of intelligent automation, offering practical insights into how adaptive, learning-based controllers can outperform conventional methods in complex, nonlinear systems. Her findings have implications for industrial robotics, prosthetics, and autonomous systems, making her a rising voice in the intersection of control engineering and computational intelligence.
Research Focus
Key Achievements
Top Papers
- 1