Ravi Kant Gupta
Papers
1
Total Citations
5
H-Index
1
About
Ravi Kant Gupta is a researcher specializing in robotics, control systems, and intelligent automation, with a particular focus on adaptive control techniques for robotic manipulators. His most-cited work, "Comparison of PID controller & adaptive neuro fuzzy controller for robot manipulator" (2015), addresses critical challenges in robotic arm control, including position tracking, trajectory optimization, and system uncertainties. By integrating Adaptive Neuro-Fuzzy Inference Systems (ANFIS) with traditional control methods, Gupta demonstrated a novel approach to handling the tuning complexities and dynamic uncertainties inherent in three-degree-of-freedom robotic systems. This contribution has been cited 5 times, reflecting its relevance to researchers working on intelligent control strategies. Gupta’s work bridges the gap between classical PID control and modern soft computing techniques, offering practical solutions for improving precision and adaptability in automation. His research is particularly valuable for students and engineers exploring the intersection of robotics, fuzzy logic, and neural networks, providing a foundation for developing more robust and efficient robotic systems in industrial and service applications.
Research Focus
Key Achievements
Top Papers
- 1