Igor Gritsenko

Papers

Total Citations

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About

Igor Gritsenko is a robotics researcher whose work focuses on the kinematics, design, and practical deployment of service robots. His key research areas include parallel robotics, medical service robotics, and autonomous navigation for humanoid platforms. Gritsenko made a notable contribution to the field of parallel kinematics with his 2017 paper on the Delta robot, where he introduced a novel forward kinematics algorithm that yields only one root, simplifying a traditionally complex computation. This work, cited 8 times, provides a more efficient and numerically stable method for solving the Delta robot’s motion, verified through closed-loop inverse kinematics. In 2022, Gritsenko led the design of a comprehensive complex of medical service robots for hospital environments, including transport, assistant, and disinfection robots. The assistant robot’s capability to measure temperature highlights its practical utility in healthcare settings. This applied work, with 5 citations, demonstrates his ability to translate theoretical robotics into real-world solutions. Additionally, his 2019 research on plane-based navigation and object model construction for humanoid robots contributes to autonomous grasping, further showcasing his versatility across robotic systems.