Erkan Uslu

About

Erkan Uslu is a robotics researcher whose work centers on autonomous mobile robotics, simultaneous localization and mapping (SLAM), and multi-robot systems. His research addresses some of the most fundamental challenges in autonomous navigation, including exploration, obstacle avoidance, path planning, and localization in unknown or dynamic environments. Uslu's most cited contribution, a 2015 implementation of frontier-based exploration (24 citations), demonstrated practical approaches to autonomous target selection in unmapped environments — a cornerstone problem in mobile robotics. He has made significant strides in SLAM research, developing R-SLAM for resilient localization in challenging environments, conducting comparative analyses of 3D SLAM systems such as RTAB-Map and Kintinuous, and advancing object-aware RGBD SLAM capable of operating in dynamic settings. His 2017 work on multi-robot localization and mapping within the ROS/Gazebo simulation framework (16 citations) reflects a sustained commitment to scalable, real-world-applicable robotics architectures. Particularly noteworthy is Uslu's focus on search and rescue applications, incorporating thermal sensing for victim detection and Vector Field Histogram-based obstacle avoidance. His research portfolio, accumulating over 100 citations, reflects a coherent and impactful research trajectory that bridges theoretical robotics with urgent humanitarian applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Implementation of frontier-based exploration algorithm for an autonomous robot

   24 citations · 2015
2. 2
   An architecture for multi-robot localization and mapping in the Gazebo/Robot Operating System simulation environment

   16 citations · 2017
3. 3
   R-SLAM: Resilient localization and mapping in challenging environments

   14 citations · 2016
4. 4
   Comparison of 3-dimensional SLAM systems: RTAB-Map vs. Kintinuous

   10 citations · 2017
5. 5
   Object Aware RGBD SLAM in Dynamic Environments

   8 citations · 2022
6. 6
   Thermal based exploration for search and rescue robots

   7 citations · 2017
7. 7
   Obstacle avoidance with Vector Field Histogram algorithm for search and rescue robots

   7 citations · 2014
8. 8
   More scalable solution for multi-robot–multi-target assignment problem

   6 citations · 2019
9. 9
   Android application for simultaneously control of multiple land robots which have different drive strategy

   5 citations · 2017
10. 10
    Potential Field Path Planning and Potential Field Path Tracking

    5 citations · 2020

Key Collaborators

Contact & Links