Sergey Pluzhnikov

Papers

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About

Sergey Pluzhnikov is a robotics researcher whose work centers on the motion planning and control of robot manipulators, with a particular emphasis on biologically inspired approaches for heavy machinery. His most notable contribution is a novel, behavior-based arm control system for autonomous bucket excavators, which solves the inverse kinematics problem of arbitrary kinematic chains without the instability issues common to traditional methods. This approach, detailed in his 2012 paper, achieves low computational complexity by transferring the kinematic chain into a network of behavior-based modules, offering a robust solution for real-world autonomous excavation. With 6 citations, this work stands as his most influential, demonstrating a clear impact on the field of construction robotics. Pluzhnikov’s research bridges the gap between theoretical control algorithms and practical applications, making him a key figure in advancing autonomous heavy equipment. His work is essential reading for students and researchers interested in bio-inspired robotics, inverse kinematics, and the automation of industrial machinery.