Amperawan Amperawan

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About

Amperawan Amperawan is a robotics researcher focused on human-robot interaction and autonomous navigation, with particular expertise in gesture-based control systems and embedded vision for mobile platforms. His most cited work, "Finger Cue for Mobile Robot Motion Control" (2020, 7 citations), addresses a fundamental challenge in robotics: establishing intuitive communication between humans and machines. By developing a finger gesture recognition system, Amperawan proposed a natural, language-free method for commanding robot motion—an approach that has practical implications for both industrial automation and domestic service robots. More recently, his 2024 study "Confusion Matrix Using Yolo V3-Tiny on Quadruped Robot Based Raspberry PI 3B+" (3 citations) advances the field of disaster robotics. Here, Amperawan integrated the lightweight YOLOv3-Tiny object detection algorithm with a quadruped robot platform, using confusion matrix analysis to evaluate the system’s ability to identify people—both alive and deceased—in post-disaster environments. This work demonstrates a cost-effective, Raspberry Pi-based solution for search-and-rescue missions. Though his citation counts are modest, Amperawan’s research bridges practical embedded systems with critical real-world applications, from everyday human-robot collaboration to life-saving disaster response.