Mehmet Caner Akay
Papers
2
Total Citations
15
H-Index
2
About
Mehmet Caner Akay is a robotics researcher whose work centers on heterogeneous robot teams, 3D LiDAR perception, and multi-robot mapping. His major contributions lie in advancing sensor setup optimization and dataset creation for cooperative autonomous systems. His most cited work, "Evaluation of 3D LiDAR Sensor Setup for Heterogeneous Robot Team" (2020, 8 citations), systematically analyzes how different LiDAR configurations affect the performance of mixed ground and aerial robot teams. Complementing this, his 2019 paper "A 3D LiDAR Dataset of ITU Heterogeneous Robot Team" (7 citations) provides a uniquely valuable resource for the robotics community—a real-world dataset collected by unmanned ground and aerial vehicles navigating the Maslak Campus of Istanbul Technical University. This dataset has become a benchmark for testing SLAM, loop closure, and map merging algorithms, directly supporting researchers working on collaborative perception in unstructured environments. Though early in his career, Akay’s work demonstrates a clear focus on enabling robust multi-robot coordination through practical, open-source contributions that bridge simulation and real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Evaluation of 3D LiDAR Sensor Setup for Heterogeneous Robot Team8 citations · 2020
- 2A 3D LiDAR Dataset of ITU Heterogeneous Robot Team7 citations · 2019