Iqbal Maulana

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About

Iqbal Maulana’s research centers on autonomous robotics, with a particular focus on LiDAR-based mapping and navigation in confined or hazardous indoor environments. His most-cited work, “Lidar Application for Mapping and Robot Navigation on Closed Environment” (2018), addresses a critical challenge in robotics: enabling reliable, real-time spatial awareness and path planning in spaces inaccessible to humans, such as collapsed structures or industrial ducts. By integrating LiDAR sensors with SLAM algorithms, Maulana’s approach enhances robot autonomy in GPS-denied settings, directly supporting applications in search-and-rescue, industrial inspection, and domestic service robots. Though his citation count is still growing—with this paper garnering six citations—his contribution is foundational for researchers working on low-cost, robust navigation systems. Maulana’s work bridges the gap between theoretical mapping techniques and practical deployment, making him a promising voice in the field of field robotics. His achievements underscore the importance of sensor fusion and real-time data processing for next-generation autonomous systems.