Fabiola Maria Teresa Retno Kinasih

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About

Fabiola Maria Teresa Retno Kinasih is a robotics researcher whose work lies at the intersection of computer vision, control systems, and healthcare automation. Her research focuses on developing intelligent robotic systems that can perceive and interact with their environment, with a particular emphasis on visual servoing and object detection. In her most cited work, "Centroid-Tracking-Aided Robust Object Detection for Hospital Objects" (2020, 8 citations), Kinasih addresses a critical challenge born from the COVID-19 pandemic: enabling robots to safely navigate and interact in healthcare settings. This work proposes a robust detection framework that combines centroid tracking with object detection, allowing robots to reliably identify and track hospital objects while minimizing human contact—a vital capability for protecting healthcare workers during highly contagious outbreaks. Her earlier research, "Visual Servo Application Using Model Predictive Control (MPC) Method on Pan-tilt Camera Platform" (2019, 8 citations), demonstrates her expertise in control theory, where she applies MPC to achieve precise, real-time camera positioning for visual servoing tasks. Together, these contributions showcase Kinasih’s commitment to creating practical, deployable robotic solutions that enhance safety and efficiency in high-stakes environments.