Mihael Simonic

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Autonomous Learning

Multimodal Data

Iterative Learning

Reinforcement Learning

Top Venues

Publications

Mihael Simonic, Ales Ude, Bojan Nemec
Hierarchical learning of robotic contact policies. Robotics Comput. Integr. Manuf. 86 (2024)
Bojan Nemec, Matija Mavsar, Mihael Simonic, Matevz Majcen Hrovat, Jure Skrabar, Ales Ude
Integration of a reconfigurable robotic workcell for assembly operations in automotive industry. SII (2022)
Zvezdan Loncarevic, Mihael Simonic, Ales Ude, Andrej Gams
Combining Reinforcement Learning and Lazy Learning for Faster Few-Shot Transfer Learning. Humanoids (2022)
Mihael Simonic, Matevz Majcen Hrovat, Saso Dzeroski, Ales Ude, Bojan Nemec
Determining Exception Context in Assembly Operations from Multimodal Data. Sensors 22 (20) (2022)
Mihael Simonic, Miha Denisa, Ales Ude, Bojan Nemec
A New Phase Determination Algorithm for Iterative Learning of Human-Robot Collaboration. ICAR (2021)
Mihael Simonic, Tadej Petric, Ales Ude, Bojan Nemec
Analysis of Methods for Incremental Policy Refinement by Kinesthetic Guidance. J. Intell. Robotic Syst. 102 (1) (2021)
Mihael Simonic, Rok Pahic, Timotej Gaspar, Saeed Abdolshah, Sami Haddadin, Manuel G. Catalano, Florentin Wörgötter, Ales Ude
Modular ROS-based software architecture for reconfigurable, Industry 4.0 compatible robotic workcells. ICAR (2021)
Bojan Nemec, Mihael Simonic, Ales Ude
Learning of Exception Strategies in Assembly Tasks. ICRA (2020)
Zvezdan Loncarevic, Rok Pahic, Mihael Simonic, Ales Ude, Andrej Gams
Learning of Robotic Throwing at a Target using a Qualitative Learning Reward. EUROCON (2019)
Mihael Simonic, Leon Zlajpah, Ales Ude, Bojan Nemec
Autonomous Learning of Assembly Tasks from the Corresponding Disassembly Tasks. Humanoids (2019)
Michael Franke, Gregory Scontras, Mihael Simonic
Subjectivity-based adjective ordering maximizes communicative success. CogSci (2019)
Bojan Nemec, Mihael Simonic, Tadej Petric, Ales Ude
Incremental Policy Refinement by Recursive Regression and Kinesthetic Guidance. ICAR (2019)
Zvezdan Loncarevic, Rok Pahic, Mihael Simonic, Ales Ude, Andrej Gams
Reduction of Trajectory Encoding Data Using a Deep Autoencoder Network: Robotic Throwing. RAAD (2019)
Bojan Nemec, Mihael Simonic, Nejc Likar, Ales Ude
Enhancing the performance of adaptive iterative learning control with reinforcement learning. IROS (2017)
Martin V. Butz, Mihael Simonic, Marcel Binz, Jonas Einig, Stephan Ehrenfeld, Fabian Schrodt
Is it Living? Insights from Modeling Event-Oriented, Self-Motivated, Acting, Learning and Conversing Game Agents. CogSci (2016)