Sheva Aulia

Sepuluh Nopember Institute of Technology

Papers

Total Citations

H-Index

About

Sheva Aulia is a robotics researcher whose work focuses on the intersection of autonomous systems and environmental sensing. Her primary research areas include multi-robot coordination, gas source localization, and sensor-based navigation. In her most cited work, "Heuristic Approach on Robot Formation to Find a Gas Leak Source" (2023), Aulia addresses the critical challenge of using mobile robot teams to detect hazardous gas leaks. She developed a formation control strategy where robots equipped with stereo-nose gas sensors and LiDAR collaborate to efficiently locate emission sources. This contribution is particularly significant for industrial safety and disaster response applications. While her citation count is still growing, Aulia's research demonstrates the practical potential of swarm robotics in environmental monitoring. Her work represents an important step toward deploying autonomous systems in dangerous environments where human access is limited. As the field of robotic environmental sensing expands, Aulia's heuristic formation approach offers a scalable solution for rapid, autonomous gas leak detection—a technology with clear implications for public safety and industrial hazard management.