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About

Anatoly Karpenko is a pioneering researcher in advanced robotics, specializing in the modeling and control of complex manipulator systems and group robotics. His work focuses on the dynamics of manipulators with movable platforms, the synthesis of relative motion control for hinged bodies, and the development of intelligent algorithms for multi-robot coordination. Karpenko’s major contributions include creating a novel control algorithm for hinged bodies that enables precise absolute positioning, and introducing an advanced cat swarm optimization algorithm for group robotics, which has been applied to critical tasks like localizing radiation or chemical contamination zones. His research also explores the Dodekapod, a universal intelligent structure for adaptive parallel spatial self-moving modular robots, and multiagent approaches for controlling multisection trunk-type manipulators. With over 39 citations across his most-cited works, Karpenko’s impact is evident in his innovative algorithmic solutions, such as modified particle swarm methods for group robotics, which advance autonomous systems in hazardous environments. His achievements underscore a commitment to practical, scalable robotic intelligence, making him a notable figure in adaptive robotics and swarm control.