Anton Sokolskiy

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About

Anton Sokolskiy’s research focuses on the intersection of composite materials and robotic systems, with a particular emphasis on structural integrity under dynamic loads. His most-cited work, “Influence of arrangement of layers of composite material on the bearing capacity of a robotic system” (2023), introduces a method for determining reduced characteristics of multilayer composites and simulates a robotic stand as a composite rack under dynamic influence. By approximating movement details, Sokolskiy demonstrates how layer arrangement directly impacts load-bearing capacity—a critical insight for designing lightweight, resilient robotic structures. Though his citation count is currently modest, this foundational study offers practical guidance for optimizing composite layups in robotics, potentially influencing future work in adaptive manufacturing and autonomous system durability. His contributions bridge materials science and mechanical design, providing a framework for engineers seeking to enhance robotic performance through tailored composite architectures. As the field of composite robotics grows, Sokolskiy’s systematic approach to layer arrangement and dynamic simulation positions him as a rising voice in structural optimization.