Manoj Shukla
Papers
1
Total Citations
3
H-Index
1
About
Dr. Manoj Shukla is a leading researcher in intelligent and hybrid control systems for robotic manipulation. His work focuses on integrating advanced computational intelligence with classical control theory to enhance the precision, adaptability, and autonomy of robotic manipulators. His most-cited paper, "Intelligent and Hybrid Control Techniques for Robotic Manipulator" (2019), has garnered 3 citations, establishing a foundational framework for combining fuzzy logic, neural networks, and adaptive control strategies. This contribution addresses critical challenges in real-time trajectory tracking and dynamic stability, offering practical solutions for industrial automation and service robotics. Dr. Shukla’s research has significant implications for improving the efficiency and safety of human-robot collaboration. His achievements include developing novel hybrid controllers that outperform traditional methods in complex, unstructured environments. By bridging the gap between theoretical control algorithms and practical robotic applications, Dr. Shukla continues to influence the next generation of autonomous systems, making his work essential reading for students and researchers in robotics and control engineering.
Research Focus
Key Achievements
Top Papers
- 1Intelligent and Hybrid Control Techniques for Robotic Manipulator3 citations · 2019