Zulfan Jauhar Maknuny
Papers
1
Total Citations
2
H-Index
1
About
Zulfan Jauhar Maknuny is a robotics researcher focused on autonomous navigation and service robotics, with particular emphasis on healthcare applications. His most notable work addresses the urgent need for contactless health services during the COVID-19 pandemic, where he developed an RPLiDAR-based mapping system for indoor navigation on a health service assisting robot. This system enables autonomous logistics support—delivering medicine, food, and monitoring environments—reducing human exposure to infection. His research integrates LiDAR-based simultaneous localization and mapping (SLAM) with path planning algorithms to create reliable, map-based navigation in dynamic indoor settings. While his most-cited paper has garnered 2 citations to date, his work represents an important early contribution to pandemic-response robotics, demonstrating how off-the-shelf sensors can be leveraged for practical healthcare automation. Maknuny’s research sits at the intersection of robotics, public health, and human-robot interaction, offering scalable solutions for hospitals and clinics. His contributions are particularly relevant for researchers exploring low-cost autonomous systems in healthcare, and his work continues to inform the development of resilient, responsive service robots for crisis scenarios.
Research Focus
Key Achievements
Top Papers
- 1