Devira Anggi Maharani

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About

Devira Anggi Maharani is a researcher at the forefront of computer vision, human-robot interaction, and intelligent automation. Her work bridges the gap between machine perception and real-world application, with a particular focus on enabling robots to understand and interact with their environments more naturally. Her most cited paper, “Hand gesture recognition using K-means clustering and Support Vector Machine” (2018, 41 citations), addresses a critical need in human-robot interaction by developing a non-verbal communication system for deaf individuals, patients, and the elderly. In “Deep features fusion for KCF-based moving object tracking” (2023, 14 citations), she tackles the challenging problem of real-time object tracking and occlusion handling, advancing surveillance and autonomous systems. Her applied engineering work, “Pallet Detection and Distance Estimation with YOLO and Fiducial Marker Algorithm in Industrial Forklift Robot” (2023, 11 citations), demonstrates her ability to translate research into practical solutions for e-commerce logistics, enabling autonomous forklifts to detect and track pallets with precision. Maharani’s contributions are shaping the future of robotics, making them more accessible, efficient, and responsive to human needs.