Muhammad Agung Nursyeha

Sepuluh Nopember Institute of Technology, Institut Teknologi Kalimantan

Papers

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About

Muhammad Agung Nursyeha specializes in robotic systems for environmental hazard detection, with a primary focus on gas leak localization using multi-robot formations. His research integrates LiDAR-equipped mobile robots with behavior-based control algorithms and heuristic approaches to navigate complex environments and precisely identify gas leak sources—a critical challenge given how easily gas disperses through airflow. His most cited work, "LiDAR Equipped Robot Navigation on Behavior-based Formation Control for Gas Leak Localization" (2020, 16 citations), demonstrates how coordinated robot teams can replace human inspectors in dangerous gas detection scenarios, significantly reducing accident risks. Building on this foundation, his 2023 paper explores heuristic formation strategies, equipping robots with stereo-nose gas sensors and LiDAR to improve source localization accuracy. Nursyeha’s contributions advance the practical deployment of autonomous robotic swarms for industrial safety and environmental monitoring, offering scalable solutions that minimize human exposure to toxic or explosive gases. His work sits at the intersection of swarm robotics, sensor fusion, and hazard mitigation, providing a framework for safer, more efficient emergency response systems.