Rania Rayyes

According to our database, Rania Rayyes authored at least 22 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Tracing Back Error Sources to Explain and Mitigate Pose Estimation Failures.

Loris Schneider, Yitian Shi, Rosa Wolf, Carolin Brenner, Rudolph Triebel, Rania Rayyes

CoRR, March, 2026

FlowCorrect: Efficient Interactive Correction of Generative Flow Policies for Robotic Manipulation.

Edgar Welte, Yitian Shi, Rosa Wolf, Maximillian Gilles, Rania Rayyes

CoRR, February, 2026

2025

Human-Interpretable Uncertainty Explanations for Point Cloud Registration.

Johannes A. Gaus, Loris Schneider, Yitian Shi, Jongseok Lee, Rania Rayyes, Rudolph Triebel

CoRR, September, 2025

HOGraspFlow: Exploring Vision-based Generative Grasp Synthesis with Hand-Object Priors and Taxonomy Awareness.

Yitian Shi, Zicheng Guo, Rosa Wolf, Edgar Welte, Rania Rayyes

CoRR, September, 2025

MetaMVUC: Active Learning for Sample-Efficient Sim-to-Real Domain Adaptation in Robotic Grasping.

Maximilian Gilles, Kai Furmans, Rania Rayyes

IEEE Robotics Autom. Lett., April, 2025

Diffusion models for robotic manipulation: a survey.

Rosa Wolf, Yitian Shi, Sheng Liu, Rania Rayyes

Frontiers Robotics AI, 2025

Interactive imitation learning for dexterous robotic manipulation: challenges and perspectives - a survey.

Edgar Welte, Rania Rayyes

Frontiers Robotics AI, 2025

VISO-Grasp: Vision-Language Informed Spatial Object-centric 6-DoF Active View Planning and Grasping in Clutter and Invisibility.

Yitian Shi, Di Wen, Guanqi Chen, Edgar Welte, Sheng Liu, Kunyu Peng, Rainer Stiefelhagen, Rania Rayyes

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

vMF-Contact: Uncertainty-Aware Evidential Learning for Probabilistic Contact-Grasp in Noisy Clutter.

Yitian Shi, Edgar Welte, Maximilian Gilles, Rania Rayyes

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

AI-based Framework for Robust Model-Based Connector Mating in Robotic Wire Harness Installation.

Claudius Kienle, Benjamin Alt, Finn Schneider, Tobias Pertlwieser, Rainer Jäkel, Rania Rayyes

Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

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