Short Bio

Dr. Erdal Kayacan received a Ph.D. degree in electrical and electronic engineering at Bogazici University, Istanbul, Turkey. After finishing his post-doctoral research at KU Leuven at the division of mechatronics, biostatistics and sensors (MeBioS) in 2014, he worked in Nanyang Technological University at the School of Mechanical and Aerospace Engineering as an assistant professor for four years. Currently, he is pursuing his research in Aarhus University at the Department of Engineering as an associate professor. He is the Director of Artificial Intelligence in Robotics (Air Lab) laboratory.

Dr. Kayacan is co-writer of a course book “Fuzzy Neural Networks for Real Time Control Applications, 1st Edition Concepts, Modeling and Algorithms for Fast Learning“, Butterworth-Heinemann, Print Book ISBN:9780128026878. (17 Sept 2015).

He is a Senior Member of Institute of Electrical and Electronics Engineers (IEEE). From 1st Jan 2017, he is an Associate Editor of IEEE Transactions on Fuzzy Systems.


  • Now2018

    Associate Professor

    Aarhus University, Department of Engineering

  • 20182014

    Assistant Professor

    Nanyang Technological University, Mechanical and Aerospace Engineering

  • 20142011

    Post-doctoral Researcher

    University of Leuven (KU Leuven), Division of Mechatronics, Biostatistics and Sensors

Our new paper in ICRA 2019

We are proud to announce our paper is accepted for publication in the 2019 International Conference on Robotics and Automation (ICRA) to be held on May 20-24, 2019 in Montreal, Canada.

Title: Online Deep Learning for Improved Trajectory Tracking of Unmanned Aerial Vehicles Using Expert Knowledge

Author: Andriy Sarabakha and Erdal Kayacan

For further details, see you at IEEE ICRA 2019 at Montreal!


Artificial Intelligence in Robotics Laboratory (Air Lab) opened and open for research…

Artificial Intelligence in Robotics Laboratory (Air Lab) is opened and open for research. Our new facilities in Skejby: Deep Tech Experimental Hub.

12 V8 Vicon cameras, 15x15x5 meters of flight arena!

Media Release of Quicabot

New buildings in Singapore may soon have a high-tech building inspector rolling up to their door steps armed with laser scanners and high-tech cameras that can spot the tiniest cracks and defects.img_0860

This new building inspector is a robot invented by scientists from Nanyang Technological University, Singapore (NTU Singapore), co-developed with Singapore’s national industrial developer JTC and local start-up CtrlWorks.

Named QuicaBot – short for Quality Inspection and Assessment Robot – it can move autonomously to scan a room in minutes, using high-tech cameras and laser scanners to pick up building defects like cracks and uneven surfaces.

A few of these robots working together will make inspecting a building a breeze. The robots can upload 3D data of the scans to the cloud and inform the human operator, who can then inspect critical and complex defects.

“Visual inspection of a new building is an intensive effort that takes two inspectors, so we have designed a robot to assist a human inspector to do his job in about half the time, saving precious time and manpower, and with great accuracy and consistency,” explained Prof Kayacan.


A new book in adaptive neuro-fuzzy systems is available!


Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning
by Erdal Kayacan and Mojtaba Ahmadieh Khanesar
With foreword by Jerry M. Mendel


Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book!

Not only does this book stand apart from others in its focus but also in its application-based presentation style. Prepared in a way that can be easily understood by those who are experienced and inexperienced in this field. Readers can benefit from the computer source codes for both identification and control purposes which are given at the end of the book.

Projects Directed (Ongoing)

    Danish Hydrocarbon Research and Technology Centre: Visualisation of Virtual Outcrops Using Aerial Robots
    200,000DKK by Technical University of Denmark, Danish Hydrocarbon Research and Technology Centre

Projects Directed (Finished)

  • ST Eng-NTU Corp Lab
    ST Eng-NTU Corp Lab: Precise landing for unmanned aerial vehicles
    470,000SGD by ST Eng-NTU Corp Lab
  • ST Eng-NTU Corp Lab
    ST Eng-NTU Corp Lab: Fuzzy neural network-based learning control of unmanned aerial vehicles
    130,000SGD by ST Eng-NTU Corp Lab
  • JTC Corporation - NRF
    JTC Corporation - NRF: Automated Construction Quality Assessment Robot System (A-CONQUARS)
    821,160SGD by JTC Corporation - NRF
  • NTU Start up Grant
    NTU Start up Grant (Learning control algorithms for unmanned aerial vehicles)
    100,000SGD by Nanyang Technological University
  • MOE Tier 1
    MOE Academic Research Funding (AcRF) Tier 1: Learning-based path planning of unmanned aerial vehicles with vision-based sensing
    80,000SGD by Nanyang Technological University
  • MOE Tier 1
    MOE Academic Research Funding (AcRF) Tier 1: Model predictive control-moving horizon estimation framework as applied to tilt rotor UAVs and its experimental evaluation
    88,000SGD by Nanyang Technological University
  • NRF
    NRF - Design of lightweight UAV for 3D Printing
    2,052,500SGD by NRF Medium-Sized Centre (MSC)

Publication Database

Research impact by 10.04.2019

Total citations (by 12.04.2019)

Google scholar [Total citations: 2572 and H-index:25]
Scopus [Total citations: 1941 and H-index:23]
Web of science [Total citations: 1242 and H-index:19]

Citations Map: displays geographic locations for publications that have cited me. (From ISI ResearcherID)

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Collaborators Map: displays geographic locations for my collaborators. (From ISI ResearcherID)

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