User Feedback in Latent Space Robotic Skill Learning. - Rok Pahic; Zvezdan Loncarevic; Ales Ude; Bojan Nemec; Andrej Gams (Humanoids, 2018)

Deep Encoder-Decoder Networks for Mapping Raw Images to Dynamic Movement Primitives. - Rok Pahic; Andrej Gams; Ales Ude; Jun Morimoto (ICRA, 2018)

Learning of Robotic Throwing at a Target using a Qualitative Learning Reward. - Zvezdan Loncarevic; Rok Pahic; Mihael Simonic; Ales Ude; Andrej Gams (EUROCON, 2019)

Learning to Write Anywhere with Spatial Transformer Image-to-Motion Encoder-Decoder Networks. - Barry Ridge; Rok Pahic; Ales Ude; Jun Morimoto (ICRA, 2019)

Reduction of Trajectory Encoding Data Using a Deep Autoencoder Network: Robotic Throwing. - Zvezdan Loncarevic; Rok Pahic; Mihael Simonic; Ales Ude; Andrej Gams (RAAD, 2019)

Convolutional Encoder-Decoder Networks for Robust Image-to-Motion Prediction. - Barry Ridge; Rok Pahic; Ales Ude; Jun Morimoto (RAAD, 2019)

Training of deep neural networks for the generation of dynamic movement primitives. - Rok Pahic; Barry Ridge; Andrej Gams; Jun Morimoto; Ales Ude (Neural Networks, 2020)

Modular ROS-based software architecture for reconfigurable, Industry 4.0 compatible robotic workcells. - Mihael Simonic; Rok Pahic; Timotej Gaspar; Saeed Abdolshah; Sami Haddadin; Manuel G. Catalano; Florentin Wörgötter; Ales Ude (ICAR, 2021)

Reconstructing Spatial Aspects of Motion by Image-to-Path Deep Neural Networks. - Rok Pahic; Andrej Gams; Ales Ude (IEEE Robotics Autom. Lett., 2021)

Robot skill learning in latent space of a deep autoencoder neural network. - Rok Pahic; Zvezdan Loncarevic; Andrej Gams; Ales Ude (Robotics Auton. Syst., 2021)

Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks. - Matija Mavsar; Barry Ridge; Rok Pahic; Jun Morimoto; Ales Ude (IEEE Trans. Neural Networks Learn. Syst., 2024)