Kurnianingsih Kurnianingsih

Universitas Gadjah Mada, State University of Semarang, Politeknik Negeri Semarang

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About

Kurnianingsih’s research sits at the vital intersection of assistive robotics, artificial intelligence, and healthcare technology, with a clear focus on improving quality of life for aging and disabled populations. Her foundational review, "Assistive Robotic Technology: A Review" (2017, 9 citations), systematically examined how companion and assistive robots can help older adults with chronic conditions overcome daily challenges, establishing a key reference in the field. She then advanced this work by proposing an ecological approach for object relationship extraction in elderly care robots (2020, 9 citations), developing frameworks that enable robots to understand human environments and daily activity scenarios more intuitively. Demonstrating the breadth of her expertise, Kurnianingsih has also applied machine learning to biomedical detection, using ensemble learning with soft voting to identify methamphetamine in urine (2020, 3 citations)—a contribution to public health and smart society technologies. Her work consistently bridges robotic perception, human-robot interaction, and AI-driven diagnostics, making her a notable voice in creating safer, more supportive environments where advanced technology coexists with human needs.