Angelica Winasta Sinisuka

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About

Angelica Winista Sinisuka is a rising researcher in robotics and artificial intelligence, with a focused interest in developing autonomous systems for critical real-world applications. Her primary research area lies at the intersection of computer vision and mobile robotics, specifically leveraging deep learning algorithms to enhance robotic perception and navigation in hazardous environments. Her most notable contribution is the "Exploration Robot Based On YOLOv8 Algorithm," a pioneering design that integrates the state-of-the-art YOLOv8 object detection framework into a search and rescue platform. This work addresses the urgent need for reliable robotic assistance in disaster scenarios, such as earthquakes, where human access is impossible. By enabling the robot to identify survivors, obstacles, and structural hazards in real time, her research directly improves the speed and safety of emergency response operations. Although early in her career, with her flagship paper already garnering 2 citations, Sinisuka’s work demonstrates significant potential for impact in the field of field robotics. Her achievement lies in translating a cutting-edge AI algorithm into a practical, deployable system, marking her as a promising innovator in autonomous rescue technology.