Onderzoeksoutput per jaar
Onderzoeksoutput per jaar
Vingerafdruk
Verdiep u in de onderzoeksgebieden waarop Joris De Winter actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.
- 1 Soortgelijke profielen
Netwerk
Recente externe samenwerking op landen-/regioniveau. Duik in de details door op de stippen te klikken of
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Single assembly sequence to flexible assembly plan by Autonomous Constraint Generation
De Winter, J., Beckers, J., Van de Perre, G., El Makrini, I. & Vanderborght, B., feb 2023, In: Robotics and Computer-Integrated Manufacturing. 79, 0736-5845, blz. 1-21 21 blz., 102417.Onderzoeksoutput: Article › peer review
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Synergistic Task and Motion Planning with Reinforcement Learning-Based Non-Prehensile Actions
Liu, G., De Winter, J., Steckelmacher, D., Hota, R. K., Nowe, A. & Vanderborght, B., 15 mrt 2023, (Accepted/In press) In: IEEE Robotics and Automation Letters. 8 blz.Onderzoeksoutput: Article › peer review
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MoveRL: To A Safer Robotic Reinforcement Learning Environment
Liu, G., De Winter, J., Vanderborght, B., Nowe, A. & Steckelmacher, D., 2022, The 33rd Benelux Conference on Artificial Intelligence and the 30th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2021): AI in ACTION Joint International Scientific Conferences on AI. Leiva, L. A., Pruski, C., Markovich, R., Najjar, A. & Schommer, C. (redactie). CCIS: Springer, Vol. 1530. blz. 239-253 15 blz. (Communications in Computer and Information Science; vol. 1530).Onderzoeksoutput: Conference paper
Open AccessBestand -
Transparent Interaction based Learning for Human-Robot Collaboration
Bagheri, E., De Winter, J. & Vanderborght, B., 4 mrt 2022, In: Frontiers in Robotics and AI. 9, blz. 1-9 9 blz., 754955.Onderzoeksoutput: Article › peer review
Open Access2 Citaten (Scopus) -
Autonomous Assembly Planning of Demonstrated Skills with Reinforcement Learning in Simulation
De Winter, J., El Makrini, I., Van de Perre, G., Nowe, A., Verstraten, T. & Vanderborght, B., 16 okt 2021, In: Autonomous Robots. 45, 8, blz. 1097-1110 14 blz.Onderzoeksoutput: Article › peer review
Open AccessBestand4 Citaten (Scopus)48 Downloads (Pure)
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PROUD: A Hybrid Model-Based/Learning Approach for Symbolic-Level Robot Programming by User Demonstration
Joris De Winter (Speaker), Bram Vanderborght (Contributor), Cristian Alejandro Vergara Perico (Contributor), Elahe Bagheri (Contributor), Yudha Pane (Contributor), Erik Hostens (Contributor), Erwin Aertbelien (Contributor) & Wilm Decre (Contributor)
31 mei 2020Activiteit: Talk or presentation at a conference
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How to Focus Exploration of Reinforcement Learning Agents using Human Interactions
Joris De Winter (Speaker)
19 nov 2018Activiteit: Talk or presentation at a workshop/seminar