Samuel M. Odeyinka

Papers

Total Citations

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About

Samuel M. Odeyinka is a robotics researcher whose work centers on the kinematic modeling and control of industrial manipulators, with a particular focus on solving the complex inverse kinematics problems inherent in six-degree-of-freedom (DOF) robotic systems. His most cited paper, "Fanuc Family Inverse Kinematics Modeling, Validation and Visualization" (2016), addresses the challenging task of deriving accurate inverse kinematic solutions for Fanuc robots, accounting for the intricate relationships between tool frame position, orientation, and joint configurations. This work provides a validated modeling framework that enhances the precision and reliability of robotic motion planning in manufacturing and automation settings. While his citation count remains modest, Odeyinka’s contributions are significant for practitioners seeking practical, validated approaches to robot control—a critical step toward more autonomous and adaptable industrial systems. His research bridges theoretical kinematics with real-world application, offering tools that improve the efficiency and accuracy of robotic operations. For students and researchers in robotics and automation, Odeyinka’s work exemplifies the importance of rigorous modeling and validation in advancing the capabilities of industrial robots.