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ORCIDMihael Simonic
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2020 – today
- 2024
[j3]Mihael Simonic
, Ales Ude, Bojan Nemec:
Hierarchical learning of robotic contact policies. Robotics Comput. Integr. Manuf. 86: 102657 (2024)- 2022
- [j2]Mihael Simonic, Matevz Majcen Hrovat, Saso Dzeroski, Ales Ude, Bojan Nemec:
Determining Exception Context in Assembly Operations from Multimodal Data. Sensors 22(20): 7962 (2022) - [c12]Zvezdan Loncarevic, Mihael Simonic, Ales Ude, Andrej Gams:
Combining Reinforcement Learning and Lazy Learning for Faster Few-Shot Transfer Learning. Humanoids 2022: 285-290 - [c11]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: 778-783 - 2021
- [j1]Mihael Simonic, Tadej Petric, Ales Ude, Bojan Nemec:
Analysis of Methods for Incremental Policy Refinement by Kinesthetic Guidance. J. Intell. Robotic Syst. 102(1): 5 (2021) - [c10]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: 44-51 - [c9]Mihael Simonic, Miha Denisa, Ales Ude, Bojan Nemec:
A New Phase Determination Algorithm for Iterative Learning of Human-Robot Collaboration. ICAR 2021: 480-485 - 2020
- [c8]Bojan Nemec, Mihael Simonic, Ales Ude:
Learning of Exception Strategies in Assembly Tasks. ICRA 2020: 6521-6527
2010 – 2019
- 2019
- [c7]Michael Franke, Gregory Scontras, Mihael Simonic:
Subjectivity-based adjective ordering maximizes communicative success. CogSci 2019: 344-350 - [c6]Zvezdan Loncarevic, Rok Pahic, Mihael Simonic, Ales Ude, Andrej Gams:
Learning of Robotic Throwing at a Target using a Qualitative Learning Reward. EUROCON 2019: 1-6 - [c5]Mihael Simonic, Leon Zlajpah, Ales Ude, Bojan Nemec:
Autonomous Learning of Assembly Tasks from the Corresponding Disassembly Tasks. Humanoids 2019: 230-236 - [c4]Bojan Nemec, Mihael Simonic, Tadej Petric, Ales Ude:
Incremental Policy Refinement by Recursive Regression and Kinesthetic Guidance. ICAR 2019: 344-349 - [c3]Zvezdan Loncarevic, Rok Pahic, Mihael Simonic, Ales Ude, Andrej Gams:
Reduction of Trajectory Encoding Data Using a Deep Autoencoder Network: Robotic Throwing. RAAD 2019: 86-94 - 2017
- [c2]Bojan Nemec, Mihael Simonic, Nejc Likar, Ales Ude:
Enhancing the performance of adaptive iterative learning control with reinforcement learning. IROS 2017: 2192-2199 - 2016
- [c1]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
Coauthor Index
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