World's Best Scientists 2026 revealed!
Erdal Kayacan

Erdal Kayacan

D-Index & Metrics

Computer Science

D-Index
42
Citations
6980
World Ranking
8437
National Ranking
38

Overview

Erdal Kayacan is affiliated with Aarhus University in Denmark and has a multidisciplinary research portfolio spanning engineering and computer science. The scientist's work primarily focuses on fields such as engineering with 61 publications and computer science with 56 publications. Within these broader fields, notable subfields include computer vision and pattern recognition, control and systems engineering, aerospace engineering, artificial intelligence, and mechanical engineering.

The scientist's research topics reflect specialization in robotics and sensor-based localization, robotic path planning algorithms, advanced neural network applications, adaptive control of nonlinear systems, advanced control systems optimization, fuzzy logic and control systems, and video surveillance and tracking methods.

Frequent coauthors collaborating with Erdal Kayacan include:

  • Huy Xuan Pham
  • Mojtaba Ahmadieh Khanesar
  • Okyay Kaynak
  • Jonas le Fevre Sejersen
  • Halil İbrahim Uğurlu

Publication venues where the scientist has contributed multiple articles include:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • 2022 European Control Conference (ECC)
  • IEEE Transactions on Artificial Intelligence

Among recent papers authored or coauthored by Erdal Kayacan are:

  • Design, development and experimental validation of a lightweight dual-arm aerial manipulator with a COG balancing mechanism (2021, Mechatronics)
  • GridNet: Image-Agnostic Conditional Anomaly Detection for Indoor Surveillance (2021, IEEE Robotics and Automation Letters)
  • OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics (2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS))
  • Sim-to-Real Deep Reinforcement Learning for Safe End-to-End Planning of Aerial Robots (2022, Robotics)
  • PencilNet: Zero-Shot Sim-to-Real Transfer Learning for Robust Gate Perception in Autonomous Drone Racing (2022, IEEE Robotics and Automation Letters)

Erdal Kayacan has also contributed to academic book publishing with a title under Springer International Publishing:

  • Sliding-Mode Fuzzy Controllers (2021)

Best Publications

  • Grey system theory-based models in time series prediction

    Erdal Kayacan;Baris Ulutas;Okyay Kaynak

  • Model Predictive Control in Aerospace Systems: Current State and Opportunities

    Utku Eren;Anna Prach;Başaran Bahadır Koçer;Saša V. Raković

  • Type-2 Fuzzy Logic Trajectory Tracking Control of Quadrotor VTOL Aircraft With Elliptic Membership Functions

    Erdal Kayacan;Reinaldo Maslim

  • A Grey System Modeling Approach for Sliding-Mode Control of Antilock Braking System

    E. Kayacan;Y. Oniz;O. Kaynak

  • Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding-Mode-Control-Theory-Based Online Learning Algorithm

    Erkan Kayacan;Erdal Kayacan;Herman Ramon;Wouter Saeys

  • Extended Kalman Filter Based Learning Algorithm for Type-2 Fuzzy Logic Systems and Its Experimental Evaluation

    M. A. Khanesar;E. Kayacan;M. Teshnehlab;O. Kaynak

  • Detection of red and bicoloured apples on tree with an RGB-D camera

    Tien Thanh Nguyen;Koenraad Vandevoorde;Niels Wouters;Erdal Kayacan

  • Autonomous navigation of UAV by using real-time model-based reinforcement learning

    Nursultan Imanberdiyev;Changhong Fu;Erdal Kayacan;I-Ming Chen

  • AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance

    Ilker Bozcan;Erdal Kayacan

  • Towards Agrobots: Trajectory Control of an Autonomous Tractor Using Type-2 Fuzzy Logic Controllers

    Erdal Kayacan;Erkan Kayacan;Herman Ramon;Okyay Kaynak

  • A Dynamic Method to Forecast the Wheel Slip for Antilock Braking System and Its Experimental Evaluation

    Y. Oniz;E. Kayacan;O. Kaynak

  • Type-2 Fuzzy Logic Controllers Made Even Simpler: From Design to Deployment for UAVs

    Andriy Sarabakha;Changhong Fu;Erdal Kayacan;Tufan Kumbasar

  • Learning in Centralized Nonlinear Model Predictive Control: Application to an Autonomous Tractor-Trailer System

    Erkan Kayacan;Erdal Kayacan;Herman Ramon;Wouter Saeys

  • Distributed nonlinear model predictive control of an autonomous tractor–trailer system

    Erkan Kayacan;Erdal Kayacan;Herman Ramon;Wouter Saeys

  • Analysis of the Noise Reduction Property of Type-2 Fuzzy Logic Systems Using a Novel Type-2 Membership Function

    M. A. Khanesar;E. Kayacan;M. Teshnehlab;O. Kaynak

  • Hybrid Learning for Interval Type-2 Intuitionistic Fuzzy Logic Systems as Applied to Identification and Prediction Problems

    Imo Eyoh;Robert John;Geert De Maere;Erdal Kayacan

  • Moving horizon estimation and nonlinear model predictive control for autonomous agricultural vehicles

    T. Kraus;H. J. Ferreau;E. Kayacan;H. Ramon

  • Identification of Nonlinear Dynamic Systems Using Type-2 Fuzzy Neural Networks—A Novel Learning Algorithm and a Comparative Study

    Erkan Kayacan;Erdal Kayacan;Mojtaba Ahmadieh Khanesar

  • Towards agrobots

    Erkan Kayacan;Erdal Kayacan;Herman Ramon;Wouter Saeys

  • Neuro-fuzzy control of antilock braking system using sliding mode incremental learning algorithm

    Andon V. Topalov;Yesim Oniz;Erdal Kayacan;Okyay Kaynak

Frequent Co-Authors

Okyay Kaynak
Okyay Kaynak Boğaziçi University
Wouter Saeys
Wouter Saeys KU Leuven
Herman Ramon
Herman Ramon KU Leuven
I-Ming Chen
I-Ming Chen Nanyang Technological University
Robert John
Robert John University of Nottingham
Mohammad Teshnehlab
Mohammad Teshnehlab K.N.Toosi University of Technology
Mahmut Reyhanoglu
Mahmut Reyhanoglu University of North Carolina at Asheville
Jonathan M. Garibaldi
Jonathan M. Garibaldi University of Nottingham
Sebastian Scherer
Sebastian Scherer Carnegie Mellon University
Robert L. K. Tiong
Robert L. K. Tiong Nanyang Technological University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Considering a future in Computer Science? There are several related online degrees and alternative career pathways worth exploring. Many students choose to accelerate their journey with a 1 year computer science degree online, which can help them enter the tech workforce quickly without sacrificing quality.

If you're interested in applying computer science to real-world challenges, engineering fields are another promising path. You might look into an online environmental engineering degree or pursue an online mechanical engineering degree. Both options blend computing concepts with practical engineering skills sought after by many employers.

For those fascinated by theoretical foundations or scientific research, a physics degree online opens doors to careers in education, data analysis, research, and beyond. These online programs provide the flexibility to study at your own pace and build a diverse skill set aligned with today’s job market.

Best Scientists Citing Erdal Kayacan

Trending Scientists

Recently Published Articles