Pavel Gritsenko

Papers

Total Citations

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About

Pavel Gritsenko is a robotics researcher whose work centers on parallel kinematics, humanoid robot navigation, and autonomous manipulation. His most notable contribution is a novel forward kinematics algorithm for Clavel’s Delta robot, published in 2017. This method reduces the typical multiple-solution problem to a single root, significantly simplifying real-time control and numerical verification through closed-loop inverse kinematics. The paper has garnered 8 citations, reflecting its practical value in robotics and automation. Gritsenko also explores humanoid robot autonomy, as seen in his 2019 work on plane-based navigation and object model construction for grasping. This research integrates environmental perception with manipulation planning, enabling robots to build spatial models for stable object interaction. While his citation counts are modest, his focus on efficient, implementable solutions—particularly in Delta robot kinematics—positions him as a contributor to advancing robotic precision and autonomy. His work bridges theoretical kinematics and applied robotics, offering clear pathways for students and engineers in parallel mechanism control and humanoid task execution.