Learning Inverse Statics Models Efficiently. - Rania Rayyes; Daniel Kubus; Carsten Hartmann; Jochen J. Steil (CoRR, 2017)

Learning Forward and Inverse Kinematics Maps Efficiently. - Daniel Kubus; Rania Rayyes; Jochen J. Steil (IROS, 2018)

Learning Inverse Statics Models Efficiently With Symmetry-Based Exploration. - Rania Rayyes; Daniel Kubus; Jochen J. Steil (Frontiers Neurorobotics, 2018)

Online Associative Multi-Stage Goal Babbling Toward Versatile Learning of Sensorimotor Skills. - Rania Rayyes; Jochen J. Steil (ICDL-EPIROB, 2019)

Hierarchical Interest-Driven Goal Babbling for Efficient Bootstrapping of Sensorimotor skills. - Rania Rayyes; Heiko Donat; Jochen J. Steil (ICRA, 2020)

Efficient and Stable Online Learning for Developmental Robots (Effizientes und stabiles online Lernen für "Developmental Robots") - Rania Rayyes (2021)

Hyperspectral Wavelength Analysis with U-Net for Larynx Cancer Detection. - Felix Meyer-Veit; Rania Rayyes; Andreas O. H. Gerstner; Jochen J. Steil (ESANN, 2022)

Hyperspectral Endoscopy Using Deep Learning for Laryngeal Cancer Segmentation. - Felix Meyer-Veit; Rania Rayyes; Andreas O. H. Gerstner; Jochen J. Steil (ICANN (4), 2022)

Efficient Online Interest-Driven Exploration for Developmental Robots. - Rania Rayyes; Heiko Donat; Jochen J. Steil (IEEE Trans. Cogn. Dev. Syst., 2022)

Interest-Driven Exploration With Observational Learning for Developmental Robots. - Rania Rayyes; Heiko Donat; Jochen J. Steil; Michael Spranger (IEEE Trans. Cogn. Dev. Syst., 2023)

Intrinsic motivation learning for real robot applications. - Rania Rayyes (Frontiers Robotics AI, 2023)

vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter. - Yitian Shi; Edgar Welte; Maximilian Gilles; Rania Rayyes (CoRR, 2024)

MetaGraspNetV2: All-in-One Dataset Enabling Fast and Reliable Robotic Bin Picking via Object Relationship Reasoning and Dexterous Grasping. - Maximilian Gilles; Yuhao Chen 001; E. Zhixuan Zeng; Yifan Wu 004; Kai Furmans; Alexander Wong; Rania Rayyes (IEEE Trans Autom. Sci. Eng., 2024)

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 (CoRR, 2025)

VISO-Grasp: Vision-Language Informed Spatial Object-centric 6-DoF Active View Planning and Grasping in Clutter and Invisibility. - Yitian Shi; Di Wen 006; Guanqi Chen; Edgar Welte; Sheng Liu; Kunyu Peng; Rainer Stiefelhagen; Rania Rayyes (CoRR, 2025)

Diffusion Models for Robotic Manipulation: A Survey. - Rosa Wolf; Yitian Shi; Sheng Liu; Rania Rayyes (CoRR, 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., 2025)

Interactive Imitation Learning for Dexterous Robotic Manipulation: Challenges and Perspectives - A Survey. - Edgar Welte; Rania Rayyes (CoRR, 2025)