Intention Recognition with Recurrent Neural Networks for Dynamic Human-Robot Collaboration. - Matija Mavsar; Miha Denisa; Bojan Nemec; Ales Ude (ICAR, 2021)

RoverNet: Vision-Based Adaptive Human-to-Robot Object Handovers. - Matija Mavsar; Ales Ude (Humanoids, 2022)

Integration of a reconfigurable robotic workcell for assembly operations in automotive industry. - Bojan Nemec; Matija Mavsar; Mihael Simonic; Matevz Majcen Hrovat; Jure Skrabar; Ales Ude (SII, 2022)

An Application Study on Reconfigurable Robotic Workcells and Policy Adaptation for Electronic Waste Recycling. - Mihael Simonic; Boris Kuster; Matija Mavsar; Gasper Savle; Sebastian Ruiz; Martin Bem; Matevz Majcen Hrovat; Ales Ude (CIS-RAM, 2024)

GAN-Based Semi-Supervised Training of LSTM Nets for Intention Recognition in Cooperative Tasks. - Matija Mavsar; Jun Morimoto; Ales Ude (IEEE Robotics Autom. Lett., 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., 2024)

Dynamic bimanual human-to-robot object handovers using motion prediction deep neural networks. - Matija Mavsar; Eiji Uchibe; Jun Morimoto; Ales Ude (SII, 2025)