Devendra Rawat
Papers
2
Total Citations
40
H-Index
2
About
Devendra Rawat is a leading researcher in the field of intelligent robotics and nonlinear control systems, with a primary focus on the trajectory and motion control of robotic manipulators. His work addresses the fundamental challenge of managing the highly nonlinear, multi-input multi-output (MIMO) dynamics that make these systems notoriously difficult to regulate. Rawat’s major contributions lie in the application of metaheuristic algorithms and intelligent control strategies to enhance the precision and stability of robotic arms. His comprehensive review on the intelligent control of robotic manipulators (2022), which has garnered 35 citations, serves as a critical resource for researchers, synthesizing decades of progress in the field. More recently, his 2023 study on trajectory control using metaheuristic algorithms has advanced the state of the art by offering novel, adaptive solutions for complex industrial environments. With applications spanning manufacturing, medicine, and space exploration, Rawat’s research is pivotal in pushing the boundaries of autonomous robotic operation, making him a significant voice in modern control engineering.
Research Focus
Key Achievements
Top Papers
- 1Intelligent control of robotic manipulators: a comprehensive review35 citations · 2022
- 2Trajectory Control of Robotic Manipulator using Metaheuristic Algorithms5 citations · 2023