Sukanta K. Senapati

GIET University, Indira Gandhi Institute of Technology

Papers

Total Citations

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About

Sukanta K. Senapati is a researcher specializing in robotics and intelligent control systems, with a particular focus on solving complex kinematic problems in industrial automation. His work centers on the application of soft computing methodologies — including neuro-fuzzy systems and related artificial intelligence techniques — to address one of the most challenging problems in robotic engineering: inverse kinematics. Senapati's most notable contributions involve developing neuro-fuzzy-based controllers capable of accurately determining joint angles for 6-degrees-of-freedom (6-DOF) industrial robots. Traditional robotic controllers often struggle to produce unique, precise end-effector positioning solutions, and Senapati's research directly tackles this limitation by leveraging intelligent computational approaches to achieve correct and reliable joint configurations. His 2019 publications on inverse kinematic solutions using neuro-fuzzy technology and soft computing reflect a consistent research agenda aimed at bridging the gap between classical robotics theory and practical industrial application. While still building his citation profile — with his key works accumulating citations since 2019 — Senapati's research addresses highly relevant challenges in modern manufacturing and automation, making his contributions valuable for engineers and researchers seeking smarter, more adaptable robotic control systems.