Prabhas Ranjan Naik
Papers
1
Total Citations
12
H-Index
1
About
Prabhas Ranjan Naik is a robotics and control systems researcher whose work focuses on intelligent control strategies for robotic manipulators. His key research areas include fuzzy logic control, sliding mode control, and the application of simulation tools like SimMechanics for modeling complex robotic systems. Naik’s major contribution lies in the comparative analysis of model-based and model-free control approaches for multi-degree-of-freedom robots, as demonstrated in his most-cited work, “2-DOF robot manipulator control using fuzzy PD control with SimMechanics and sliding mode control: A comparative study” (2015, 12 citations). This paper systematically evaluates the performance of fuzzy proportional-derivative control against sliding mode control, providing valuable insights into their respective strengths in handling nonlinearities and uncertainties in robotic systems. By bridging theoretical control methods with practical simulation-based validation, Naik’s research aids in the design of more robust and adaptive controllers for industrial and service robots. His work is particularly notable for its accessibility to students and practitioners, offering clear benchmarks for implementing and comparing control strategies in real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1