Rok Pahic

According to our database, Rok Pahic authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

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., January, 2024

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

Reconstructing Spatial Aspects of Motion by Image-to-Path Deep Neural Networks.

Rok Pahic, Andrej Gams, Ales Ude

IEEE Robotics Autom. Lett., 2021

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

Proceedings of the 20th International Conference on Advanced Robotics, 2021

2020

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

2019

Convolutional Encoder-Decoder Networks for Robust Image-to-Motion Prediction.

Barry Ridge, Rok Pahic, Ales Ude, Jun Morimoto

Proceedings of the Advances in Service and Industrial Robotics, 2019

Reduction of Trajectory Encoding Data Using a Deep Autoencoder Network: Robotic Throwing.

Zvezdan Loncarevic, Rok Pahic, Mihael Simonic, Ales Ude, Andrej Gams

Proceedings of the Advances in Service and Industrial Robotics, 2019

Learning to Write Anywhere with Spatial Transformer Image-to-Motion Encoder-Decoder Networks.

Barry Ridge, Rok Pahic, Ales Ude, Jun Morimoto

Proceedings of the International Conference on Robotics and Automation, 2019

Learning of Robotic Throwing at a Target using a Qualitative Learning Reward.

Zvezdan Loncarevic, Rok Pahic, Mihael Simonic, Ales Ude, Andrej Gams

Proceedings of the IEEE EUROCON 2019, 2019

2018

Deep Encoder-Decoder Networks for Mapping Raw Images to Dynamic Movement Primitives.

Rok Pahic, Andrej Gams, Ales Ude, Jun Morimoto

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

User Feedback in Latent Space Robotic Skill Learning.

Rok Pahic, Zvezdan Loncarevic, Ales Ude, Bojan Nemec, Andrej Gams

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018