Sukumar Senthilkumar

Papers

Total Citations

H-Index

About

Sukumar Senthilkumar is a computational mathematician whose research centers on the development and application of advanced numerical methods for solving complex problems in robotics and industrial automation. His primary contributions lie in the design of improved Runge-Kutta techniques, specifically the Modified Improved Runge-Kutta Fifth-Order Five Stage (MIRK(5,5)) method, which he pioneered to model the dynamics of industrial robot arms with greater efficiency. By reducing the number of function evaluations per time step, Senthilkumar’s approach offers a computationally lighter alternative for simulating second-order robot arm problems and variations in joint angles for systems with two degrees of freedom. His most cited work, “A MODIFIED IMPROVED RUNGE–KUTTA FIFTH-ORDER FIVE STAGE TECHNIQUE TO STUDY INDUSTRIAL ROBOT ARM” (2013, 3 citations), demonstrates the practical utility of his method in tackling real-world robotic motion challenges. Complemented by his paper “RK- Methods for Robot Application problems” (2013, 2 citations), Senthilkumar’s research bridges the gap between numerical analysis and applied robotics, providing engineers with more efficient tools for simulation and control. Though his citation counts are modest, his work represents a focused effort to enhance the precision and speed of computational models in industrial settings.