Rania Rayyes

According to our database, Rania Rayyes authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MetaGraspNetV2: All-in-One Dataset Enabling Fast and Reliable Robotic Bin Picking via Object Relationship Reasoning and Dexterous Grasping.

Maximilian Gilles, Yuhao Chen, E. Zhixuan Zeng, Yifan Wu, Kai Furmans, Alexander Wong, Rania Rayyes

IEEE Trans Autom. Sci. Eng., July, 2024

2023

Intrinsic motivation learning for real robot applications.

Rania Rayyes

Frontiers Robotics AI, February, 2023

Interest-Driven Exploration With Observational Learning for Developmental Robots.

Rania Rayyes, Heiko Donat, Jochen J. Steil, Michael Spranger

IEEE Trans. Cogn. Dev. Syst., 2023

2022

Efficient Online Interest-Driven Exploration for Developmental Robots.

Rania Rayyes, Heiko Donat, Jochen J. Steil

IEEE Trans. Cogn. Dev. Syst., 2022

Hyperspectral Endoscopy Using Deep Learning for Laryngeal Cancer Segmentation.

Felix Meyer-Veit, Rania Rayyes, Andreas O. H. Gerstner, Jochen J. Steil

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Hyperspectral Wavelength Analysis with U-Net for Larynx Cancer Detection.

Felix Meyer-Veit, Rania Rayyes, Andreas O. H. Gerstner, Jochen J. Steil

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Efficient and Stable Online Learning for Developmental Robots (Effizientes und stabiles online Lernen für "Developmental Robots")

Rania Rayyes

PhD thesis, 2021

2020

Hierarchical Interest-Driven Goal Babbling for Efficient Bootstrapping of Sensorimotor skills.

Rania Rayyes, Heiko Donat, Jochen J. Steil

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Online Associative Multi-Stage Goal Babbling Toward Versatile Learning of Sensorimotor Skills.

Rania Rayyes, Jochen J. Steil

Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

2018

Learning Inverse Statics Models Efficiently With Symmetry-Based Exploration.

Rania Rayyes, Daniel Kubus, Jochen J. Steil

Frontiers Neurorobotics, 2018

Learning Forward and Inverse Kinematics Maps Efficiently.

Daniel Kubus, Rania Rayyes, Jochen J. Steil

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Learning Inverse Statics Models Efficiently.

Rania Rayyes, Daniel Kubus, Carsten Hartmann, Jochen J. Steil

CoRR, 2017