PUBLICATIONS

Journal Papers

1- S. Aslan, R. Özalp, A. Uçar, C. Güzeliş, New CNN and Hybrid CNN-LSTM Models for Learning Object Manipulation of Humanoid Robots from Demonstration, Cluster Computing: The Journal of Networks, Software Tools and Applications, 10.1007/s10586-021-03348-7, 2021.

2- S. Aslan, B. Taşçı, A. Uçar, C. Güzeliş, Learning to move an object by the humanoid robots by using deep reinforcement learning, Journal of Ambient Intelligence and Smart Environments Series, Vol. 29, 143-155, 2021, 10.3233/AISE210092. 

Conference Papers

1- R. Özalp, C. Kaymak, Ö. Yildirum, A. Ucar, Y. Demir, and C. Güzeliş, ‘An Implementation of Vision Based Deep Reinforcement Learning for Humanoid Robot Locomotion’, in 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA), 2019, pp. 1–5. (Download Full text PDF)

 

2- S. Aslan, A. Uçar, C. Güzeliş, ‘Fast Object Recognition for Humanoid Robots by Using Deep Learning Models with Small Structure’, In 2020 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA) (pp. 1-7). IEEE. Aug 24-26, 2020, Novi Sad, Serbia.

3- S. Aslan, R. Özalp, A. Uçar, C. Güzeliş, ‘End-To-End Learning from Demonstation for Object Manipulation of Robotis-Op3 Humanoid Robot’, In 2020 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA) (pp. 1-6). IEEE. Aug 24-26, 2020, Novi Sad, Serbia.

4-  S. Aslan, B. Taşçı, A. Uçar, C. Güzeliş, Learning to move an object by the humanoid robots by using deep reinforcement learning, Best Paper Award, SeLIE’21 – The first International Workshop on Self-Learning in Intelligent Environments (SeLIE’21), 24 June 2021, Dubai, United Arab EmiratesJournal of Ambient Intelligence and Smart Environments Series, Vol. 29, 143-155, 2021, 10.3233/AISE210092.

Book Chapters

1- R. Özalp, N.Köksal Varol, B. Taşçı, A. Uçar, A Review of Deep Reinforcement Learnıng Algorıthms and Comparatıve Results on Inverted Pendulum System, 2020,Springer.

2- S. N. Aslan, A. Uçar, C. Güzeliş, New Convolutional Neural Network Models for Efficient Object Recognition with Humanoid Robots, Journal of Information and Telecommunication, 2021.

National Conference Papers

1-  S. Aslan, R. Özalp, A. Uçar, C. Güzeliş, İnsansı Robotlar ile Nesne Algılama ve Yakalama için Anlamsal Bölütleme, Semantic Segmentation for Object Detection and Grasping with Humanoid Robots, ASYU 2020 Akıllı Sistemlerde Yenilikler ve Uygulamaları Konferansı 15-17 Ekim, 2020, İstanbul, Türkiye.

2- S. Aslan, A. Uçar, C. Güzeliş, Anlamsal Bölütleme  ve Derin Q Ağı Kullanarak Hedefe Doğru Yürümek İçin Yeni Bir Derin Öğrenme Algoritmasının Geliştirilmesi, Development of Deep Learning Algorithm for Humanoid Robots to Walk to the Target Using Semantic Segmentation and Deep Q Network, ASYU 2020 Akıllı Sistemlerde Yenilikler ve Uygulamaları Konferansı 15-17 Ekim, 2020, İstanbul, Türkiye.