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About

Riska Analia is a robotics and intelligent systems researcher whose work sits at the intersection of computer vision, deep learning, and robotic control. Best known for her sustained contributions to the Barelang-FC humanoid soccer robot project, she has played a central role in advancing real-time object detection capabilities for autonomous robots, most notably through the application of YOLO-based architectures — her pioneering 2017 paper on deep learning for ball and goal detection has accumulated 31 citations and remains a foundational reference in humanoid robot soccer vision systems. Her research portfolio spans several technically demanding domains, including kinematic modeling for delta robots, trigonometric algorithms for goalkeeper prediction, robot positioning strategies, and ROS-based software integration frameworks. More recently, Analia has expanded her focus into biomedical engineering, developing wearable sensor systems for knee joint gait identification as a precursor to lower-limb exoskeleton rehabilitation devices — reflecting a meaningful evolution toward human-centered robotics. Across her body of work, Analia demonstrates a consistent commitment to bridging theoretical frameworks with real-time implementation, making her research practically valuable for robotics competitions and rehabilitation engineering alike. Her cumulative citation record highlights her growing influence within the robotics research community.