Abdul Shukor

Papers

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About

Abdul Shukor is a robotics researcher whose work centers on autonomous navigation, environmental sensing, and mobile robot mapping. His key contributions lie in developing efficient scanning and mapping systems for indoor environments, addressing critical challenges in unexplored, hazardous, or cluttered spaces. His most cited paper, "Indoor Scanning and Mapping using Mobile Robot and RP Lidar" (2016, 10 citations), demonstrates a practical approach to improving the efficiency of mobile robots for real-world reconnaissance and monitoring tasks. This work has laid foundational methods for integrating low-cost LiDAR with robotic platforms, enabling more accessible and robust spatial data collection. Shukor’s research directly impacts fields such as search-and-rescue, industrial inspection, and autonomous exploration, where reliable mapping is essential. His achievements include advancing the use of affordable sensors for high-fidelity environment reconstruction, making robotic mapping more viable for smaller-scale operations. By focusing on the intersection of mobility and sensing, Abdul Shukor continues to contribute to the evolution of intelligent, autonomous systems that can navigate and document complex indoor spaces with greater accuracy and efficiency.