Abdulbaki Aybakan

Papers

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About

Abdulbaki Aybakan is a robotics researcher whose work centers on 3D LiDAR perception and heterogeneous multi-robot systems. His primary contributions involve advancing sensor setup and data collection for teams of unmanned ground and aerial vehicles (UGVs and UAVs). His most cited paper, "Evaluation of 3D LiDAR Sensor Setup for Heterogeneous Robot Team" (2020, 8 citations), systematically analyzes optimal LiDAR configurations for collaborative robot teams. His foundational work, "A 3D LiDAR Dataset of ITU Heterogeneous Robot Team" (2019, 7 citations), provides a critical resource for the robotics community—a dataset collected with a heterogeneous robot team navigating the Maslak Campus of Istanbul Technical University. This dataset is specifically designed to benchmark and develop SLAM, loop closure, and map merging algorithms, making it invaluable for researchers tackling multi-robot mapping challenges. By offering real-world, multi-agent LiDAR data, Aybakan’s contributions help bridge the gap between simulation and deployment, enabling more robust and scalable autonomous navigation. His work underscores the importance of shared datasets in accelerating progress in field robotics and heterogeneous coordination.