ITU Robotics Laboratory

ITU
Robotics
Laboratory

This website is about Robotics Laboratory at Istanbul Technical University (ITU), Turkey.

Other pages of the ITU Robotics Laboratory: 🌐,

Lab Staff

Prof. Dr. Hakan Temeltas, Lab Head, ,

Dr. Abdurrahman Yilmaz, Researcher 🌐,

Osman Ervan, Research Assistant 🌐

Ecem Sümer, Research Assistant 🌐

Mert Can Kurucu, Research Assistant 🌐

Papers

    2023

  1. Ervan, O., & Temeltas, H. (2023). A histogram-based sampling method for point cloud registration. The Photogrammetric Record.

    Cite this article

    @article{ervan2023histogram,
    title={A histogram-based sampling method for point cloud registration},
    author={Ervan, Osman and Temeltas, Hakan},
    journal={The Photogrammetric Record},
    year={2023},
    publisher={Wiley Online Library},
    doi = {10.1111/phor.12448}
    }

    2. 2022

  2. Savci, I. H., Yilmaz, A., Karaman, S., Ocakli, H., & Temeltas, H. (2022). Improving navigation stack of a ros-enabled industrial autonomous mobile robot (amr) to be incorporated in a large-scale automotive production. The International Journal of Advanced Manufacturing Technology, 120(5-6), 3647-3668.
    The "Ford Otosan AMR Dataset at Transit Cycle" mentioned in the paper

    Cite this article

    @article{savci2022improving,
    title={Improving navigation stack of a ros-enabled industrial autonomous mobile robot (amr) to be incorporated in a large-scale automotive production},
    author={Savci, Ismail Hakki and Yilmaz, Abdurrahman and Karaman, Sadettin and Ocakli, Hakan and Temeltas, Hakan},
    journal={The International Journal of Advanced Manufacturing Technology},
    volume={120},
    number={5-6},
    pages={3647--3668},
    year={2022},
    publisher={Springer},
    doi = {10.1007/s00170-022-08883-0}
    }

  3. Sumer, E., & Temeltas, H. (2022, November). RRT Based Frontier Point Detection for 2D Autonomous Exploration. In 2022 7th International Conference on Robotics and Automation Engineering (ICRAE) (pp. 305-311). IEEE.

    Cite this article

    @inproceedings{sumer2022rrt,
    title={RRT Based Frontier Point Detection for 2D Autonomous Exploration},
    author={Sumer, Ecem and Temeltas, Hakan},
    booktitle={2022 7th International Conference on Robotics and Automation Engineering (ICRAE)},
    pages={305--311},
    year={2022},
    organization={IEEE},
    doi = {10.1007/s00170-022-08883-0}
    }

  4. Yilmaz, A., Ervan, O., Temeltas, H., & Akduman, I. (2022, October). An Autonomous Robotic System for Ground Surface and Subsurface Imaging. In 2022 International Conference on Engineering and Emerging Technologies (ICEET) (pp. 1-6). IEEE.

    Cite this article

    @inproceedings{yilmaz2022autonomous,
    title={An Autonomous Robotic System for Ground Surface and Subsurface Imaging},
    author={Yilmaz, Abdurrahman and Ervan, Osman and Temeltas, Hakan and Akduman, Ibrahim},
    booktitle={2022 International Conference on Engineering and Emerging Technologies (ICEET)},
    pages={1--6},
    year={2022},
    organization={IEEE},
    doi = {10.1109/ICEET56468.2022.10007262}
    }

  5. Allozi, E., Yilmaz, A., Ervan, O., & Temeltas, H. (2022, August). Feasibility Analysis of Path Planning Algorithms. In 2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) (pp. 1-6). IEEE.

    Cite this article

    @inproceedings{allozi2022feasibility,
    title={Feasibility Analysis of Path Planning Algorithms},
    author={Allozi, Elbera and Yilmaz, Abdurrahman and Ervan, Osman and Temeltas, Hakan},
    booktitle={2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)},
    pages={1--6},
    year={2022},
    organization={IEEE},
    doi = {10.1109/INISTA55318.2022.9894241}
    }

  6. Yilmaz, A., Sumer, E., & Temeltas, H. (2022). A precise scan matching based localization method for an autonomously guided vehicle in smart factories. Robotics and Computer-Integrated Manufacturing, 75, 102302.

    Cite this article

    @article{yilmaz2022precise,
    title={A precise scan matching based localization method for an autonomously guided vehicle in smart factories},
    author={Yilmaz, Abdurrahman and Sumer, Ecem and Temeltas, Hakan},
    journal={Robotics and Computer-Integrated Manufacturing},
    volume={75},
    pages={102302},
    year={2022},
    publisher={Elsevier},
    doi = {10.1016/j.rcim.2021.102302}
    }

  7. Yilmaz, A., & Temeltas, H. (2022). Robust affine registration method using line/surface normals and correntropy criterion. Complex & Intelligent Systems, 8(2), 1-19.

    Cite this article

    @article{yilmaz2022robust,
    title={Robust affine registration method using line/surface normals and correntropy criterion},
    author={Yilmaz, Abdurrahman and Temeltas, Hakan},
    journal={Complex \& Intelligent Systems},
    volume={8},
    number={2},
    pages={1505--1523},
    year={2022},
    publisher={Springer},
    doi = {10.1007/s40747-021-00599-0}
    }

    8. 2021

  8. Yucel, B., Yilmaz, A., Ervan, O., & Temeltas, H. (2021, November). Fuzzy Controlled Adaptive Follow the Gap Obstacle Avoidance Algorithm. In 2021 7th International Conference on Robotics and Artificial Intelligence (pp. 93-98).

    Cite this article

    @inproceedings{yucel2021fuzzy,
    title={Fuzzy Controlled Adaptive Follow the Gap Obstacle Avoidance Algorithm},
    author={Yucel, Bilal and Yilmaz, Abdurrahman and Ervan, Osman and Temeltas, Hakan},
    booktitle={2021 7th International Conference on Robotics and Artificial Intelligence},
    pages={93--98},
    year={2021},
    doi = {10.1145/3505688.3505704}
    }

  9. Yilmaz, A., & Temeltas, H. (2021). Integration of affine ICP into the precise localization problem of smart-AGVs: Procedures, enhancements and challenges. Transactions of the Institute of Measurement and Control, 43(8), 1695-1709.

    Cite this article

    @article{yilmaz2021integration,
    title={Integration of affine ICP into the precise localization problem of smart-AGVs: Procedures, enhancements and challenges},
    author={Yilmaz, Abdurrahman and Temeltas, Hakan},
    journal={Transactions of the Institute of Measurement and Control},
    volume={43},
    number={8},
    pages={1695--1709},
    year={2021},
    publisher={SAGE Publications Sage UK: London, England},
    doi = {10.1177/0142331220933430}
    }

    10. 2020

  10. Ervan, O., & Temeltas, H. (2020, November). Tensor Voting Based 3-D Point Cloud Processing for Downsampling and Registration. In 2020 6th International Conference on Robotics and Artificial Intelligence (pp. 57-63).

    Cite this article

    @inproceedings{ervan2020tensor,
    title={Tensor Voting Based 3-D Point Cloud Processing for Downsampling and Registration},
    author={Ervan, Osman and Temeltas, Hakan},
    booktitle={2020 6th International Conference on Robotics and Artificial Intelligence},
    pages={57--63},
    year={2020},
    doi = {10.1145/3449301.3449312}
    }

  11. Haddeler, G., Aybakan, A., Akay, M. C., & Temeltas, H. (2020). Evaluation of 3D LiDAR sensor setup for heterogeneous robot team. Journal of Intelligent & Robotic Systems, 100, 689-709.

    Cite this article

    @article{haddeler2020evaluation,
    title={Evaluation of 3D LiDAR sensor setup for heterogeneous robot team},
    author={Haddeler, Garen and Aybakan, Abdulbaki and Akay, M Caner and Temeltas, Hakan},
    journal={Journal of Intelligent \& Robotic Systems},
    volume={100},
    pages={689--709},
    year={2020},
    publisher={Springer},
    doi = {10.1007/s10846-020-01207-y}
    }

    12. 2019

  12. Aybakan, A., Haddeler, G., Akay, M. C., Ervan, O., & Temeltas, H. (2019, November). A 3D LiDAR dataset of ITU heterogeneous robot team. In Proceedings of the 2019 5th International Conference on Robotics and Artificial Intelligence (pp. 12-17).
    The "ITU 3D LiDAR DataSet" mentioned in the paper

    Cite this article

    @inproceedings{aybakan20193d,
    title={A 3D LiDAR dataset of ITU heterogeneous robot team},
    author={Aybakan, Abdulbaki and Haddeler, Garen and Akay, M Caner and Ervan, Osman and Temeltas, Hakan},
    booktitle={Proceedings of the 2019 5th International Conference on Robotics and Artificial Intelligence},
    pages={12--17},
    year={2019},
    doi = {10.1145/3373724.3373734}
    }

  13. Yilmaz, A., & Temeltas, H. (2019, November). ROS Architecture for Indoor Localization of Smart-AGVs Based on SA-MCL Algorithm. In 2019 11th International Conference on Electrical and Electronics Engineering (ELECO) (pp. 885-889).

    Cite this article

    @inproceedings{yilmaz2019ros,
    title={ROS Architecture for Indoor Localization of Smart-AGVs Based on SA-MCL Algorithm},
    author={Yilmaz, Abdurrahman and Temeltas, Hakan},
    booktitle={2019 11th International Conference on Electrical and Electronics Engineering (ELECO)},
    pages={885--889},
    year={2019},
    organization={IEEE},
    doi = {10.23919/ELECO47770.2019.8990622}
    }

  14. Yilmaz, A., & Temeltas, H. (2019, November). Robust Affine Iterative Closest Point Variant Using Point-to-line Metric and Correntropy Criterion. In 2019 11th International Conference on Electrical and Electronics Engineering (ELECO) (pp. 537-541).

    Cite this article

    @inproceedings{yilmaz2019ros,
    title={Robust Affine Iterative Closest Point Variant Using Point-to-line Metric and Correntropy Criterion},
    author={Yilmaz, Abdurrahman and Temeltas, Hakan},
    booktitle={2019 11th International Conference on Electrical and Electronics Engineering (ELECO)},
    pages={537--541},
    year={2019},
    organization={IEEE},
    doi = {10.23919/ELECO47770.2019.8990405}
    }

  15. Ervan, O., & Temeltaş, H. (2019, November). Downsampling of a 3D LiDAR point cloud by a tensor voting based method. In 2019 11th international conference on electrical and electronics engineering (ELECO) (pp. 880-884). IEEE.

    Cite this article

    @inproceedings{ervan2019downsampling,
    title={Downsampling of a 3D LiDAR point cloud by a tensor voting based method},
    author={Yilmaz, Abdurrahman and Temeltas, Hakan},
    booktitle={2019 11th International Conference on Electrical and Electronics Engineering (ELECO)},
    pages={880--884},
    year={2019},
    organization={IEEE},
    doi = {10.23919/ELECO47770.2019.8990544}
    }

  16. Yilmaz, A., & Temeltas, H. (2019). Self-adaptive Monte Carlo method for indoor localization of smart AGVs using LIDAR data. Robotics and Autonomous Systems, 122, 103285.

    Cite this article

    @article{yilmaz2019self,
    title={Self-adaptive Monte Carlo method for indoor localization of smart AGVs using LIDAR data},
    author={Yilmaz, Abdurrahman and Temeltas, Hakan},
    journal={Robotics and Autonomous Systems},
    volume={122},
    pages={103285},
    year={2019},
    publisher={Elsevier},
    doi = {10.1016/j.robot.2019.103285}
    }