Sujit Kumar Pattanayak
Papers
4
Total Citations
34
H-Index
3
About
Dr. Sujit Kumar Pattanayak is a dedicated researcher in the field of robotics and automation, with a primary focus on intelligent control systems, soft robotics, and manufacturing optimization. His most influential work involves applying soft computing techniques, such as fuzzy logic and sliding mode control, to solve complex robotic challenges. Notably, his 2018 paper on predicting inverse kinematics for a 6-DOF industrial robot arm using soft computing has garnered 16 citations, demonstrating its significance in advancing robot motion planning. Dr. Pattanayak has also made substantial contributions to comparative control strategies, as seen in his 2015 study on fuzzy PD versus sliding mode control for a 2-DOF manipulator (12 citations), where he integrated SimMechanics for realistic simulation. His research extends to material selection for robot soft fingers used in power grasping (2020) and the generation of optimized robotic assembly sequences using immune-based techniques (2012). Through these works, Dr. Pattanayak has provided practical solutions for improving robot dexterity, control precision, and manufacturing efficiency, establishing himself as a thoughtful contributor to modern robotics and intelligent automation.
Research Focus
Key Achievements
Top Papers
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