Matija Mavsar

According to our database, Matija Mavsar authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

Dynamic Bimanual Cloth Manipulation via Dynamic Movement Primitives and Reinforcement Learning.

Matija Mavsar, Ales Ude, Andrej Gams

Proceedings of the IEEE/SICE International Symposium on System Integration, 2026

2025

A Dataset and Benchmark for Robotic Cloth Unfolding Grasp Selection: The ICRA 2024 Cloth Competition.

Victor-Louis De Gusseme, Thomas Lips, Remko Proesmans, Julius Hietala, Giwan Lee, Jiyoung Choi, Jeongil Choi, Geon Kim, Phayuth Yonrith, Domen Tabernik, Andrej Gams, Peter Nimac, Matej Urbas, Jon Muhovic, Danijel Skocaj, Matija Mavsar, Hyojeong Yu, Minseo Kwon, Young J. Kim, Yang Cong, Ronghan Chen, Yu Ren, Supeng Diao, Jiawei Weng, Jiayue Liu, Haoran Sun, Linhan Yang, Zeqing Zhang, Ning Guo, Lei Yang, Fang Wan, Chaoyang Song, Jia Pan, Yixiang Jin, Yong A, Jun Shi, Dingzhe Li, Yong Yang, Kakeru Yamasaki, Takumi Kajiwara, Yuki Nakadera, Krati Saxena, Tomohiro Shibata, Chongkun Xia, Kai Mo, Yanzhao Yu, Qihao Lin, Binqiang Ma, Ui Hun Sagong, JungHyun Choi, JeongHyun Park, Dongwoo Lee, Yeongmin Kim, Myun Joong Hwang, Yusuke Kuribayashi, Naoki Hiratsuka, Daisuke Tanaka, Solvi Arnold, Kimitoshi Yamazaki, Carlos Mateo-Agullo, Andreas Verleysen, Francis Wyffels

CoRR, August, 2025

Human intention recognition by deep LSTM and transformer networks for real-time human-robot collaboration.

Matija Mavsar, Mihael Simonic, Ales Ude

Frontiers Robotics AI, 2025

Dynamic bimanual human-to-robot object handovers using motion prediction deep neural networks.

Matija Mavsar, Eiji Uchibe, Jun Morimoto, Ales Ude

Proceedings of the IEEE/SICE International Symposium on System Integration, 2025

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

GAN-Based Semi-Supervised Training of LSTM Nets for Intention Recognition in Cooperative Tasks.

Matija Mavsar, Jun Morimoto, Ales Ude

IEEE Robotics Autom. Lett., January, 2024

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

Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024

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

Proceedings of the IEEE/SICE International Symposium on System Integration, 2022

RoverNet: Vision-Based Adaptive Human-to-Robot Object Handovers.

Matija Mavsar, Ales Ude

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

2021

Intention Recognition with Recurrent Neural Networks for Dynamic Human-Robot Collaboration.

Matija Mavsar, Miha Denisa, Bojan Nemec, Ales Ude

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