Papers
3
Total Citations
41
H-Index
2
About
P. Premkumar is a researcher whose work bridges robotics, mechanism design, and intelligent control systems. His primary research areas include redundant manipulator control, visual servoing, and the optimal synthesis of spatial mechanisms. A key contribution is his work on visual motor control for 7-degree-of-freedom (DOF) redundant manipulators, where he developed a redundancy-preserving learning network to solve the complex one-to-many inverse kinematics problem—a fundamental challenge in robotics. This approach allows for more flexible and efficient robot motion in unstructured environments, with his most-cited paper on this topic garnering 36 citations. Premkumar also advanced fuzzy learning paradigms for 6-DOF robot manipulator control, integrating visual feedback to improve adaptability. Earlier in his career, he contributed a computer-aided design technique for the optimum synthesis of RRSS path-generating spatial mechanisms with prescribed input timing, addressing the need for cost-effective, single-actuator mechanical devices in automation. His work demonstrates a sustained focus on enhancing robotic autonomy and mechanical precision, making his research valuable for students and engineers working in robotics, automation, and intelligent control systems.
Research Focus
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