Dyah Kusuma Dewi
Papers
1
Total Citations
8
H-Index
1
About
Dyah Kusuma Dewi is a researcher specializing in cost-effective, high-accuracy indoor navigation systems, with a particular focus on integrating multi-sensor technologies and the Robot Operating System (ROS). Her most-cited work, "ROS-based multi-sensor integrated localization system for cost-effective and accurate indoor navigation system" (2024), which has garnered 8 citations, addresses a critical challenge in robotics and autonomous systems: achieving reliable localization in GPS-denied environments without expensive hardware. By fusing data from sensors such as LiDAR, IMUs, and cameras through a ROS framework, Dewi’s approach significantly reduces system costs while maintaining competitive precision—a vital contribution for scalable deployment in warehouses, hospitals, and smart buildings. This work demonstrates her ability to bridge practical engineering constraints with robust algorithmic design, making advanced navigation accessible for broader applications. Dewi’s research holds promise for advancing autonomous mobile robots and indoor positioning systems, offering a blueprint for future low-cost, high-performance localization solutions. Her contributions are particularly impactful for researchers and students exploring sensor fusion and ROS-based robotics.
Research Focus
Key Achievements
Top Papers
- 1