Sachin Srivastava

Maharaja Engineering College, Indira Gandhi Institute of Technology

Papers

Total Citations

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About

Dr. Sachin Srivastava has made significant contributions at the intersection of robotics and intelligent control systems. His research focuses on the development and comparative analysis of advanced control schemes for robotic manipulators, particularly six-degree-of-freedom (6-DoF) robotic arms. His most cited work, "A comparative study of PID and neuro-fuzzy based control schemes for a 6-DoF robotic arm" (2018), has garnered 7 citations, establishing a benchmark for evaluating traditional versus AI-driven control methodologies. This seminal paper demonstrates how neuro-fuzzy systems can outperform conventional PID controllers in precision and adaptability, addressing a critical challenge in modern robotics. Dr. Srivastava's work bridges classical control theory with emerging artificial intelligence techniques, offering practical solutions for improving robotic arm performance in industrial and research settings. His research is particularly valuable for students and engineers seeking to understand the trade-offs between established and intelligent control approaches. By systematically comparing these methodologies, he has provided a clear roadmap for implementing more adaptive, efficient robotic systems, making his contributions essential reading for anyone working in robotics, automation, or intelligent control systems.