Items where authors include "Candan, F."

Article

Chen, J., Ma, R., Candan, F. et al. (2 more authors) (2025) A meta-reinforcement learning method for adaptive payload transportation with variations. Neurocomputing. ISSN 0925-2312 (In Press)

Candan, F. orcid.org/0000-0002-0803-610X, Beke, A., Mahfouf, M. orcid.org/0000-0002-7349-5396 et al. (1 more author) (2024) A real-time fuzzy interacting multiple-model velocity obstacle avoidance approach for unmanned aerial vehicles. Journal of Intelligent & Robotic Systems, 110 (2). 61. ISSN 0921-0296

Candan, F. orcid.org/0000-0002-0803-610X, Dik, O.F., Kumbasar, T. et al. (2 more authors) (2023) Real-time interval type-2 fuzzy control of an unmanned aerial vehicle with flexible cable-connected payload. Algorithms, 16 (6). 273. ISSN 1999-4893

Proceedings Paper

Qin, C., Candan, F., Mihaylova, L. orcid.org/0000-0001-5856-2223 et al. (1 more author) (2024) 3, 2, 1, Drones go! A testbed to take off UAV swarm intelligence for distributed sensing. In: Panoutsos, G., Mahfouf, M. and Mihaylova, L.S., (eds.) Advances in Computational Intelligence Systems. UKCI 2022. UKCI'2022 - 21st UK Workshop on Computational Intelligence, 07-09 Sep 2022, Sheffield, UK. Advances in Intelligent Systems and Computing, 1454 . Springer Nature , pp. 576-587. ISBN 978-3-031-55567-1

Candan, F., Beke, A. and Mihaylova, L. orcid.org/0000-0001-5856-2223 (2023) An interacting multiple model approach based on maximum correntropy student’s T filter. In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Proceedings. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 01-05 Oct 2023, Detroit, Michigan, USA. Institute of Electrical and Electronics Engineers (IEEE) , pp. 3314-3321. ISBN 9781665491914

Candan, F. orcid.org/0000-0002-0803-610X, Beke, A., Shen, C. et al. (1 more author) (2022) An interacting multiple model correntropy Kalman filter approach for unmanned aerial vehicle localisation. In: Proceedings of the 2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA). 2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 08-12 Aug 2022, Biarritz, France. Institute of Electrical and Electronics Engineers . ISBN 9781665498111

Candan, F., Peng, Y. and Mihaylova, L. orcid.org/0000-0001-5856-2223 (2021) A comparison of obstacle dependant Gaussian and hybrid potential field methods for collision avoidance in multi-agent systems. In: Jamil, A. and Hameed, A.A., (eds.) Proceedings of the 1st International Conference on Computing and Machine Intelligence (ICMI 2021). 1st International Conference on Computing and Machine Intelligence (ICMI-21), 19-20 Feb 2021, Virtual conference. Istanbul Sabahattin Zaim University Yayınları , pp. 240-245. ISBN 978-605-06675-7-8