Daniel Kusmenko

Papers

Total Citations

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About

Daniel Kusmenko is a robotics researcher whose work centers on the analytical modeling and control of robotic manipulators, particularly for mobile platforms. His most cited contribution, "Development of an analytical inverse kinematics for a 5 DOF manipulator" (2020, 5 citations), addresses a fundamental challenge in field robotics: enabling a rover’s arm to perform precise, real-world tasks like pressing buttons and turning switches. Rather than relying on numerical methods, Kusmenko derived a closed-form analytical solution for a five-degree-of-freedom arm, offering computational efficiency and accuracy critical for autonomous operation. This work bridges the gap between theoretical kinematics and practical deployment, showcasing his ability to solve constrained, real-world manipulation problems. While his citation count is modest, the specificity of his contribution—tailoring inverse kinematics to a compact, non-redundant manipulator—demonstrates a focused impact on mobile robotics design. Kusmenko’s research is particularly relevant for students and engineers developing lightweight, task-oriented robotic arms for exploration or service robots, where reliable, low-latency motion planning is essential.