Rok Pahic

11 papers A* 2Journal 4Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks.
IEEE Trans. Neural Networks Learn. Syst.
Matija Mavsar, Barry Ridge, Rok Pahic, Jun Morimoto, Ales Ude
2021 — conf
Modular ROS-based software architecture for reconfigurable, Industry 4.0 compatible robotic workcells.
ICAR
Mihael Simonic, Rok Pahic, Timotej Gaspar, Saeed Abdolshah, Sami Haddadin, Manuel G. Catalano, Florentin Wörgötter, Ales Ude
2021 J jnl
Reconstructing Spatial Aspects of Motion by Image-to-Path Deep Neural Networks.
IEEE Robotics Autom. Lett.
Rok Pahic, Andrej Gams, Ales Ude
2021 J jnl
Robot skill learning in latent space of a deep autoencoder neural network.
Robotics Auton. Syst.
Rok Pahic, Zvezdan Loncarevic, Andrej Gams, Ales Ude
2020 J jnl
Training of deep neural networks for the generation of dynamic movement primitives.
Neural Networks
Rok Pahic, Barry Ridge, Andrej Gams, Jun Morimoto, Ales Ude
2019 — conf
Convolutional Encoder-Decoder Networks for Robust Image-to-Motion Prediction.
RAAD
Barry Ridge, Rok Pahic, Ales Ude, Jun Morimoto
2019 — conf
Learning of Robotic Throwing at a Target using a Qualitative Learning Reward.
EUROCON
Zvezdan Loncarevic, Rok Pahic, Mihael Simonic, Ales Ude, Andrej Gams
2019 A* conf
Learning to Write Anywhere with Spatial Transformer Image-to-Motion Encoder-Decoder Networks.
ICRA
Barry Ridge, Rok Pahic, Ales Ude, Jun Morimoto
2019 — conf
Reduction of Trajectory Encoding Data Using a Deep Autoencoder Network: Robotic Throwing.
RAAD
Zvezdan Loncarevic, Rok Pahic, Mihael Simonic, Ales Ude, Andrej Gams
2018 A* conf
Deep Encoder-Decoder Networks for Mapping Raw Images to Dynamic Movement Primitives.
ICRA
Rok Pahic, Andrej Gams, Ales Ude, Jun Morimoto
2018 — conf
User Feedback in Latent Space Robotic Skill Learning.
Humanoids
Rok Pahic, Zvezdan Loncarevic, Ales Ude, Bojan Nemec, Andrej Gams