Saudah Anil Khatri
Papers
1
Total Citations
2
H-Index
1
About
Saudah Anil Khatri’s research centers on the control and automation of robotic systems, with a particular emphasis on trajectory tracking and precision manipulation. Her most notable contribution is a comprehensive study on the trajectory tracking control of a planar robotic arm, where she integrated inverse dynamics with fuzzy gain scheduling to enhance performance. This work stands out for its complete modeling-to-validation workflow, moving seamlessly from high-fidelity simulation in MATLAB to physical prototyping and experimental validation. By analytically formulating the inverse dynamics model using the Newton–Euler method and then refining it with fuzzy logic for real-time gain adjustments, Khatri demonstrated a practical, robust approach to controlling two-degree-of-freedom robotic arms. Her paper, published in 2025, has already garnered early citations, signaling its relevance to researchers working on adaptive control strategies. This achievement highlights her ability to bridge theoretical control design with tangible hardware implementation, a skill that positions her as an emerging contributor to the fields of robotics and mechatronics. Her work offers valuable insights for students and engineers seeking to implement intelligent, model-based controllers in real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1