N. Sukavanum

Papers

Total Citations

H-Index

About

N. Sukavanam is a distinguished researcher whose work centers on the control and trajectory planning of robotic manipulators, with a particular emphasis on industrial automation and precision motion. His major contributions lie in the development of hybrid control strategies that integrate fuzzy logic with traditional proportional-derivative (PD) and integral (I) controllers. His most cited work, "Fuzzy PD+I based Hybrid Force/Position Control of an Industrial Robot Manipulator" (2014, 11 citations), presents an innovative approach to managing both force and position simultaneously, a critical challenge in tasks requiring delicate interaction with environments. This work demonstrates how fuzzy logic can adaptively tune control parameters to improve stability and accuracy. Additionally, his research on "Trajectory Tracking Control of SCORBOT-ER V Plus Robot Manipulator Based on Kinematical Approach" (2012) addresses the fundamental need for smooth, efficient motion planning, comparing straight-line trajectories in joint space versus Cartesian space. These studies are essential for applications ranging from assembly to material handling, and his contributions provide foundational insights for students and engineers working on real-time robotic control systems.