Research output per year
Research output per year
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Dive into the research topics where Joris De Winter is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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, p. 1-21 21 p., 102417.Research output: Contribution to journal › 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 Mar 2023, (Accepted/In press) In: IEEE Robotics and Automation Letters. 8 p.Research output: Contribution to journal › Article › peer-review
Open Access -
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. (eds.). CCIS: Springer, Vol. 1530. p. 239-253 15 p. (Communications in Computer and Information Science; vol. 1530).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open AccessFile3 Downloads (Pure) -
Transparent Interaction based Learning for Human-Robot Collaboration
Bagheri, E., De Winter, J. & Vanderborght, B., 4 Mar 2022, In: Frontiers in Robotics and AI. 9, p. 1-9 9 p., 754955.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (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 Oct 2021, In: Autonomous Robots. 45, 8, p. 1097-1110 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Citations (Scopus)50 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 May 2020Activity: Talk or presentation › 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 2018Activity: Talk or presentation › Talk or presentation at a workshop/seminar