Rustam Asnawi

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About

Rustam Asnawi is a researcher specializing in robotics, computer vision, and intelligent control systems. His work focuses on developing vision-based methods to enhance robotic perception and interaction with the environment. His most cited paper, "Control of a Movable Robot Head Using Vision-Based Object Tracking" (2019), with 7 citations, presents a visual tracking system that enables a robot head to detect and follow objects using image processing for identification and position estimation. This contribution advances human-robot interaction by allowing robots to autonomously orient toward objects of interest. Asnawi’s research integrates real-time image analysis with robotic control, addressing challenges in object detection and motion planning. His work has implications for assistive robotics, autonomous navigation, and intelligent surveillance systems. With a growing citation record, Asnawi is establishing himself as a contributor to the field of vision-guided robotics. His achievements demonstrate a commitment to developing practical, sensor-driven solutions that bridge computer vision and mechanical control, making robots more responsive and adaptive in dynamic environments.