Zarqa Mulya

Politeknik Negeri Sriwijaya, Sriwijaya University

Papers

Total Citations

H-Index

About

Zarqa Mulya is a robotics researcher whose work bridges agricultural automation and mobile robot dynamics. Her primary research areas include computer vision for agricultural robotics, BLOB (Binary Large Object) analysis for fruit detection, and the kinematics of spherical mobile robots. Mulya’s most significant contribution is her development of a BLOB analysis method for an automatic vision-guided fruit picking and placing robot, detailed in her 2021 paper, which has garnered 23 citations. This technique uses morphological operators to filter and extract BLOBs based on color and shape, enabling robots to accurately detect and handle fruit—a practical step toward increasing agricultural efficiency through automation. In a complementary line of work, Mulya has explored the kinematics and dynamics of spherical robots, analyzing their motion as a hybrid of mobile robots and inverted pendulums, with applications spanning industrial and domestic settings. Her research demonstrates a clear focus on applying robotic vision and motion analysis to real-world challenges, from harvesting to mobile robot design. With her work cited in both agricultural and robotics engineering contexts, Mulya is establishing herself as a contributor to the growing field of intelligent automation.