Negar Kharmandar
Papers
1
Total Citations
7
H-Index
1
About
Negar Kharmandar’s research lies at the intersection of robotics, intelligent control systems, and human-robot interaction. Her most cited work, “Force impedance control of a robot manipulator using a Neuro-Fuzzy controller” (2011, 7 citations), tackles the critical challenge of enabling robot manipulators to safely and adaptively interact with their environment. In this study, she addresses the limitations of traditional Position-Based Impedance Control by introducing a time-varying integral plus proportional controller, enhanced with a Neuro-Fuzzy framework. This innovation allows robots to modulate their stiffness and damping in real time, improving both precision and safety during contact tasks. Kharmandar’s contributions are particularly valuable for applications in collaborative robotics, where compliant and responsive behavior is essential. While her citation count reflects a focused, early-stage impact, her work demonstrates a strong grasp of integrating soft computing techniques with classical control theory. For students and researchers exploring adaptive control or human-safe robotics, Kharmandar’s approach offers a practical foundation for developing more intelligent and responsive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1