Poltak Sihombing

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About

Poltak Sihombing is a researcher at the forefront of robotics and intelligent control systems, with a particular focus on human-robot interaction and autonomous manipulation. His work bridges the gap between intuitive human input and robotic precision, most notably demonstrated in his highly cited 2020 paper on "Robotic Arm Controlling Based on Fingers and Hand Gesture," which has garnered 17 citations. This research explores how natural hand gestures can be translated into direct robotic commands, making complex machinery more accessible and reducing the need for traditional programming interfaces. In his 2019 study on "Analysis of Fuzzy Logic Method for Load Lifting Robot," Sihombing applied fuzzy logic algorithms to optimize power usage in lifting robots, ensuring they adapt dynamically to varying load weights—a contribution that earned 6 citations for its practical approach to energy efficiency. His work is characterized by a commitment to developing robots that can perform dangerous or physically demanding tasks safely and effectively. By integrating gesture recognition with adaptive control logic, Sihombing is helping to shape a future where robots are not only tools but intuitive partners in human labor.