Artúr István Károly

According to our database, Artúr István Károly authored at least 8 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Digital Twin for Robotic Vision: A Blender-Based Approach.

Artúr István Károly, Ármin Károly, Péter Galambos

Proceedings of the 19th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2025

Fine-Tuning Large Language Models for Mobile Robot Navigation.

Dániel Horti, Péter Galambos, Artúr István Károly

Proceedings of the 19th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2025

2024

Increasing the Robustness of Deep Learning Models for Object Segmentation: A Framework for Blending Automatically Annotated Real and Synthetic Data.

Artúr István Károly, Sebestyén Tirczka, Huijun Gao, Imre J. Rudas, Péter Galambos

IEEE Trans. Cybern., January, 2024

2021

Deep Learning in Robotics: Survey on Model Structures and Training Strategies.

Artúr István Károly, Péter Galambos, Jozsef Kuti, Imre J. Rudas

IEEE Trans. Syst. Man Cybern. Syst., 2021

2020

Towards Optical Flow Ego-motion Compensation for Moving Object Segmentation.

Renáta Nagyné Elek, Artúr István Károly, Tamás Haidegger, Péter Galambos

Proceedings of the International Conference on Robotics, 2020

Simultaneous Planning of Grasp and Motion using Sample Regions and Gradient-Based Optimization.

Takayuki Murooka, Artúr István Károly, Felix von Drigalski, Yoshihisa Ijiri

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019

Optical flow-based segmentation of moving objects for mobile robot navigation using pre-trained deep learning models.

Artúr István Károly, Renáta Nagyné Elek, Tamás Haidegger, Károly Széll, Péter Galambos

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

OCSVM-based Evaluation Method for Generative Neural Networks.

Artúr István Károly, Márta Takács, Péter Galambos

Proceedings of the International Joint Conference on Neural Networks, 2019