Sunitha Mandava
Papers
1
Total Citations
2
H-Index
1
About
Sunitha Mandava’s research centers on advanced control systems for robotics, with a particular focus on precision manipulation and comparative algorithm design. Her most-cited work, a 2023 study on 2-DOF robotic manipulators, systematically evaluates PID, fuzzy logic (FLC), and sliding mode controllers to address the persistent challenge of achieving optimal motion accuracy. By benchmarking these approaches, she provides a clear framework for selecting robust control strategies in real-world robotic applications—a contribution that has already garnered attention in the field. Her work bridges the gap between theoretical control methods and practical implementation, offering engineers actionable insights for improving manipulator performance. With citations steadily growing, Mandava’s research is positioned to influence both academic studies and industrial automation. Her comparative methodology stands out for its clarity and utility, making her a rising voice in the robotics control community.
Research Focus
Key Achievements
Top Papers
- 1