Arief Kurniawan

Sepuluh Nopember Institute of Technology

Papers

Total Citations

H-Index

About

Arief Kurniawan’s research focuses on assistive robotics and human-robot interaction, with a particular emphasis on developing intelligent systems to support elderly care and independent living. His most cited work, “Fall detector implementation in a robot service” (2017, 4 citations), introduces a novel integration of fall detection algorithms into a robotic platform, addressing the critical challenge of monitoring vulnerable older adults when family members are unavailable due to work or study commitments. This contribution demonstrates his ability to bridge practical healthcare needs with robotic automation, offering a proactive solution for fall emergencies. Kurniawan’s approach combines sensor-based detection with service robot mobility, enabling timely alerts and assistance. While his citation count remains modest, his work represents an early and important step toward socially assistive robots that can operate autonomously in home environments. His research is particularly relevant for students and researchers interested in the intersection of robotics, gerontechnology, and human-centered design, highlighting how even low-cost robotic systems can enhance safety and quality of life for aging populations.