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Professional Profiles:
Citations – 181
h-index – 7
i10-index – 5
Education:
Dr. Furkan Çakmak’s academic journey reflects a steadfast commitment to computer science and a pursuit of excellence in education. He earned his Doctorate in Computer Engineering from Yildiz Technical University, Graduate School of Natural and Applied Sciences, Turkey, spanning the years 2014 to 2023. During this extensive doctoral program, Dr. Çakmak delved deep into the intricacies of computer engineering, showcasing his dedication to advancing knowledge in this field. Prior to his Ph.D., he completed his Postgraduate studies in Computer Engineering at Yildiz Technical University from 2013 to 2014, laying the groundwork for his doctoral research. His undergraduate education, a critical phase in his academic journey, took place at Yildiz Technical University’s Faculty of Electrical and Electronics Engineering, where he earned his Bachelor’s degree in Computer Engineering from 2007 to 2013. Additionally, Dr. Çakmak participated in an Erasmus Programme at Linköping University in 2011, focusing on Computer Science, which added an international dimension to his academic experience. This diverse educational background demonstrates Dr. Furkan Çakmak’s comprehensive understanding of computer science and his dedication to academic pursuits at both the national and international levels.
Supported Projects :
Dr. Yavuz S. and Dr. Furkan Çakmak, alongside their esteemed collaborators, have been instrumental in leading and contributing to several cutting-edge research projects in the field of robotics and autonomous systems. Their project, “Path Planning with Bezier Curves and Navigation Algorithms on Ground and Multi-Micro Aerial Vehicles,” supported by Higher Education Institutions from 2017 to 2023, exemplifies their focus on innovative navigation techniques for ground and micro aerial vehicles using Bezier curves. Additionally, the TUBITAK project, “Efficient Task Allocation for Heterogeneous Multi-Robot Autonomous Search and Rescue Teams” (2018-2021), reflects their commitment to addressing challenges in task distribution among diverse robotic systems. Another notable project, “Autonomous Navigation in Designed and Undesigned Rough Terrain with a Real Robot Platform” (2015-2018), supported by Higher Education Institutions, underscores their expertise in designing navigation algorithms for real robot platforms in complex environments. Their collaborative efforts extended to the project, “Autonomous Exploration Algorithm Design for Robot Teams with Limited Communication” (2015-2017), aimed at developing autonomous exploration algorithms for robot teams facing communication constraints. Furthermore, their involvement in the TUBITAK project from 2013 to 2016, focusing on the development of algorithms for the exploration, mapping, and victim detection for autonomous search and rescue robots, showcases their long-standing dedication to advancing the field of robotics through interdisciplinary research initiatives.
Research Focus:
Publications top Notes:
- “Social navigation framework for assistive robots in human inhabited unknown environments” by H Kivrak, F Cakmak, H Kose, S Yavuz, published in Engineering Science and Technology, an International Journal in 2021. Link | Cited by: 43
- “Implementation of frontier-based exploration algorithm for an autonomous robot” by E Uslu, F Çakmak, M Balcılar, A Akıncı, MF Amasyalı, S Yavuz, presented at the 2015 International Symposium on Innovations in Intelligent Systems and published in 2015. Link | Cited by: 24
- “R-SLAM: Resilient localization and mapping in challenging environments” by M Balcılar, S Yavuz, MF Amasyalı, E Uslu, F Çakmak, published in Robotics and Autonomous Systems in 2017. Link | Cited by: 16
- “An architecture for multi-robot localization and mapping in the Gazebo/Robot Operating System simulation environment” by E Uslu, F Cakmak, N Altuntaş, S Marangoz, MF Amasyalı, S Yavuz, published in Simulation in 2017. Link | Cited by: 14
- “Comparison of 3-dimensional SLAM systems: RTAB-Map vs. Kintinuous” by N Altuntaş, E Uslu, F Çakmak, MF Amasyalı, S Yavuz, presented at the 2017 International Conference on Computer Science and Engineering. Link | Cited by: 13
- “More scalable solution for multi-robot–multi-target assignment problem” by S Marangoz, MF Amasyalı, E Uslu, F Çakmak, N Altuntaş, S Yavuz, published in Robotics and Autonomous Systems in 2019. Link | Cited by: 9
- “Thermal based exploration for search and rescue robots” by F Çakmak, E Uslu, MF Amasyalı, S Yavuz, presented at the 2017 IEEE International Conference on Innovations in Intelligent Systems. Link | Cited by: 7
- “Waypoint based path planner for socially aware robot navigation” by H Kivrak, F Cakmak, H Kose, S Yavuz, published in Cluster Computing in 2022. Link | Cited by: 6
- “Physiological Data-Based Evaluation of a Social Robot Navigation System” by H Kivrak, P Uluer, H Kose, E Gumuslu, DE Barkana, F Cakmak, S Yavuz, presented at the 2020 IEEE International Conference on Robot and Human Interactive. Link | Cited by: 6
- “Autonomous mobile robot exploration in negative obstacle environment” by N Keskın, E Uslu, F Çakmak, N Altuntaş, MF Amasyali, S Yavuz, presented at the 2017 25th Signal Processing and Communications Applications Conference. Link | Cited by: 5