Saumitra Kumar Kuri
Papers
1
Total Citations
1
H-Index
1
About
Saumitra Kumar Kuri is a robotics researcher whose work focuses on intelligent control and redundancy resolution for spatial robotic manipulators. His key research areas include neural network-based control systems, trajectory tracking, and joint limit avoidance in multi-degree-of-freedom robotic arms. Kuri’s major contribution lies in integrating Self Organizing Maps (SOM) with Weighted Least Norm (WLN) techniques to enable efficient, real-time redundancy resolution—a critical challenge in robotics that ensures smooth, collision-free motion while respecting physical joint constraints. His most-cited paper, “SOM Network with Weighted Least Norm Matrix Based Redundancy Resolution for a 5-DOF Spatial Robotic Manipulator” (2023, 1 citation), demonstrates a novel control strategy that allows a manipulator to track complex 3D trajectories while autonomously avoiding joint limits. Though early in his citation impact, this work represents a meaningful step toward more adaptive and autonomous robotic systems. Kuri’s research is particularly relevant for students and engineers working on industrial robotics, autonomous manipulation, and intelligent control, offering a bridge between neural network theory and practical robotic applications.
Research Focus
Key Achievements
Top Papers
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