Papers
14
Total Citations
123
H-Index
6
About
Dr. Abu Ubaidah Shamsudin is a leading researcher in robotics, specializing in autonomous navigation, simultaneous localization and mapping (SLAM), and path planning for mission-critical applications. His work is particularly focused on enabling robots to operate in hazardous and unstructured environments, such as petrochemical complexes and fog-filled disaster zones. Dr. Shamsudin’s most cited paper (31 citations) introduces a novel method for 3D LIDAR measurements in fog, using laser beam penetration and geometrical features to remove false data—a breakthrough for disaster response robots. He has also made significant contributions to firefighter robotics, developing consistent SLAM maps for petrochemical complexes (24 citations) and efficient two-stage Hybrid A* path-planning algorithms (9 citations) that reduce computational demands in large environments. His research extends to unmanned aerial and surface vehicles, with notable work on real-time autonomous flight navigation (12 citations) and ROS-based SLAM for USV systems (8 citations). Additionally, Dr. Shamsudin has explored robot-assisted rehabilitation and non-verbal human-robot interaction, demonstrating a broad impact across robotics. With over 115 total citations, his work is instrumental in advancing autonomous systems for safety, exploration, and service applications.
Research Focus
Key Achievements
Top Papers
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- 5Two-stage Hybrid A* path-planning in large petrochemical complexes9 citations · 2017
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- 9Design a Simulation Tools for Goal Seeking Behavior of a Mobile Robot4 citations · 2021
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