Pradip Kumar Sahu
Papers
1
Total Citations
5
H-Index
1
About
Pradip Kumar Sahu is a researcher specializing in robotics, optimization algorithms, and trajectory planning. His work focuses on enhancing the efficiency and precision of industrial robotic manipulators through advanced computational techniques. In his highly cited 2020 paper, "Robotic manipulator trajectory optimisation using an improved modified bat algorithm," Sahu introduced a novel modified bat algorithm (MBA) that significantly improves optimal solutions for trajectory planning problems. He demonstrated the algorithm's effectiveness on two distinct robotic systems—a planar 3R manipulator and a 4-DOF SCARA robot—showcasing its practical applicability in real-world automation. With 5 citations, this work has been recognized for its contribution to optimizing robotic motion, reducing energy consumption, and improving operational accuracy. Sahu’s research bridges the gap between nature-inspired metaheuristics and industrial robotics, offering scalable solutions for complex engineering challenges. His work is particularly valuable for students and researchers exploring optimization in autonomous systems, providing a foundation for further advancements in robotic path planning and control.
Research Focus
Key Achievements
Top Papers
- 1