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About

Kanstantsin Miatliuk is a robotics and mechatronics researcher whose work spans human-robot interaction, collaborative robotics, gripper design optimization, and hierarchical systems engineering. His research consistently addresses one of modern robotics' central challenges: enabling robots to work safely, intelligently, and naturally alongside humans. Among his most influential contributions is his sustained investigation into robotic gripper design, where he developed optimization frameworks using dynamic grasp simulation to fine-tune both gripper mechanism parameters and finger geometry — work that has accumulated over 47 citations across multiple publications. His 2020 paper on collaborative chess-playing robots (28 citations) exemplifies his broader interest in practical human-robot cooperation systems enhanced by artificial intelligence. Miatliuk has also explored how robots can mimic human kinematics in movement and writing tasks, including a notable perceptual study examining whether humans prefer human-like or traditionally robotic motion profiles. His application of hierarchical systems technology to mechatronic and brain-computer interface design reflects a unifying theoretical thread throughout his career. With over 145 total citations and contributions ranging from optimal manipulator positioning to biomechatronic systems, Miatliuk's research offers valuable frameworks for students and engineers designing the next generation of collaborative robotic systems.